Alternatives to NetworkX

Compare NetworkX alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to NetworkX in 2024. Compare features, ratings, user reviews, pricing, and more from NetworkX competitors and alternatives in order to make an informed decision for your business.

  • 1
    pandas

    pandas

    pandas

    pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data.
  • 2
    h5py

    h5py

    HDF5

    The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.
    Starting Price: Free
  • 3
    Scapy

    Scapy

    Scapy

    Scapy is a powerful interactive packet manipulation program. It is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. It can easily handle most classical tasks like scanning, tracerouting, probing, unit tests, attacks, or network discovery (it can replace hping, 85% of nmap, arpspoof, arp-sk, arping, tcpdump, tshark, p0f, etc.). It also performs very well at a lot of other specific tasks that most other tools can’t handle, like sending invalid frames, injecting your own 802.11 frames, combining technics (VLAN hopping+ARP cache poisoning, VOIP decoding on WEP encrypted channel), etc. Scapy runs natively on Linux, Windows, OSX, and on most Unixes with libpcap. The same code base now runs natively on both Python 2 and Python 3. Scapy development uses the Git version control system. Scapy reference repository is hosted on GitHub.
    Starting Price: Free
  • 4
    NumPy

    NumPy

    NumPy

    Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.
  • 5
    PyQtGraph

    PyQtGraph

    PyQtGraph

    PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.
    Starting Price: Free
  • 6
    Pylons

    Pylons

    Python Software Foundation

    The Pylons web framework is designed for building web applications and sites in an easy and concise manner. They can range from as small as a single Python module, to a substantial directory layout for larger and more complex web applications. Pylons comes with project templates that help boot-strap a new web application project, or you can start from scratch and set things up exactly as desired. A framework to make writing web applications in Python easy. Utilizes a minimalist, component-based philosophy that makes it easy to expand on. Harness existing knowledge about Python. Extensible application design. Fast and efficient, an incredibly small per-request call stack provides top performance. Uses existing and well-tested Python packages. Pylons 1.0 series is stable and production-ready but in maintenance-only mode. The Pylons Project now maintains the Pyramid web framework for future development. Pylons 1.0 users should strongly consider using Pyramid for their next project.
  • 7
    statsmodels

    statsmodels

    statsmodels

    statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.
    Starting Price: Free
  • 8
    DataViewsJS

    DataViewsJS

    GrapeCity

    DataViewsJS enables you to easily and professionally customize the presentation of your data using different layouts, row templates, data fields, calculations, and editing modes that are completely and easily customizable. Leverage the powerful calc engine to perform calculations on any set of JSON data. With our calculation engine, your computing power is optimized for large data and complex calculations. DataViewsJS was designed from the start to be a fast, full-featured, and completely customizable developer tool for efficient data display and editing to meet any of your JavaScript application’s needs. Localized resources for Chinese, Japanese, and Korean are included with DataViewsJS. Additional languages can be easily added by creating your own resource files and setting them with simple script code. Modern data presentation patterns such as those you see on social networks and other sites become easy when you use DataViewsJS interchangeable layouts.
    Starting Price: $999 per year
  • 9
    Xafari Framework

    Xafari Framework

    Galaktikasoft

    Xafari is a business application framework for .NET developers. It is a set of components, modules, and utilities complementing XAF, DevExpress framework, and enhancing its capacity. Xafari provides further modules for DevExpress XAF UI (Workplaces, Doc Panels, Wizards and others) and business logic (XafariModuleBase, AppModule, Application settings and others). The framework is intended to create complex business applications in two- and three-tier architecture. Our one-year subscription provides you with the greatest tools and components for business application development. Test it for free! Download our 30-days free trial and start your app creation right now. More than 100 additional modules. More than 50 additional functions and solutions. More than 40 new editors. More than 10 examples and online BI platforms to explore new opportunities. A set of ERP components. WinForms, WebForms, and ASP.Net MVC platforms support. Qualified and prompt technical support.
    Starting Price: $299 per year
  • 10
    CVXOPT

    CVXOPT

    CVXOPT

    CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.
    Starting Price: Free
  • 11
    broot

    broot

    broot

    The ROOT data analysis framework is used much in High Energy Physics (HEP) and has its own output format (.root). ROOT can be easily interfaced with software written in C++. For software tools in Python there exists pyROOT. Unfortunately, pyROOT does not work well with python3.4. broot is a small library that converts data in python numpy ndarrays to ROOT files containing trees with a branch for each array. The goal of this library is to provide a generic way of writing python numpy datastructures to ROOT files. The library should be portable and supports both python2, python3, ROOT v5 and ROOT v6 (requiring no modifications on the ROOT part, just the default installation). Installation of the library should only require a user to compile to library once or install it as a python package.
    Starting Price: Free
  • 12
    pyglet

    pyglet

    pyglet

    The cross-platform windowing and multimedia library for Python. pyglet is a powerful, yet easy-to-use Python library for developing games and other visually-rich applications on Windows, Mac OS X, and Linux. It supports windowing, user interface event handling, Joysticks, OpenGL graphics, loading images, and videos, and playing sounds and music. All of this with a friendly Pythonic API, that's simple to learn and doesn't get in your way. pyglet is provided under the BSD open-source license, allowing you to use it for both commercial and other open-source projects with very little restriction. No external dependencies or installation requirements. For most application and game requirements, pyglet needs nothing else besides Python, simplifying distribution and installation. This makes it easy to package your project with freezers such as PyInstaller. pyglet provides real platform native windows, allowing you to take advantage of multiple windows and multi-monitor desktops.
    Starting Price: Free
  • 13
    Matplotlib

    Matplotlib

    Matplotlib

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).
    Starting Price: Free
  • 14
    pygame

    pygame

    pygame

    Pygame is a set of Python modules designed for writing video games. Pygame adds functionality on top of the excellent SDL library. This allows you to create fully featured games and multimedia programs in the python language. Pygame is highly portable and runs on nearly every platform and operating system. Pygame is free. Released under the LGPL license, you can create open-source, freeware, shareware, and commercial games with it. With dual-core CPUs common, and 8-core CPUs cheaply available on desktop systems, making use of multi-core CPUs allows you to do more in your game. Selected pygame functions release the dreaded python GIL, which is something you can do from C code. Uses optimized C and assembly code for core functions. C code is often 10-20 times faster than python code, and assembly code can easily be 100x or more times faster than python code. Comes with many operating systems. Just an apt-get, emerge, pkg_add, or just install away.
    Starting Price: Free
  • 15
    Pillow

    Pillow

    Pillow

    The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool. Pillow for enterprise is available via the Tidelift subscription. The Python Imaging Library is ideal for image archival and batch processing applications. You can use the library to create thumbnails, convert between file formats, print images, etc. The current version identifies and reads a large number of formats. Write support is intentionally restricted to the most commonly used interchange and presentation formats. The library contains basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and color space conversions.
    Starting Price: Free
  • 16
    requests

    requests

    Python Software Foundation

    Requests is a simple, yet elegant, HTTP library. Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your PUT & POST data, but nowadays, just use the JSON method! Requests is one of the most downloaded Python packages today, pulling in around 30M downloads/week, according to GitHub, Requests is currently depended upon by 1,000,000+ repositories. You may certainly put your trust in this code. Requests is available on PyPI. Requests is ready for the demands of building robust and reliable HTTP–speaking applications, for the needs of today. Automatic content decompression and decoding. International domains and URLs. Sessions with cookie persistence. Browser-style TLS/SSL verification. Basic & digest authentication, and familiar dict–like cookies. Multi-part file uploads. SOCKS proxy support. Connection timeouts and streaming downloads.
  • 17
    DHTMLX

    DHTMLX

    DHTMLX

    DHTMLX is a JavaScript UI library that provides a set of highly customizable and flexible components for building modern and responsive web applications. The library includes more than 30 UI components, such as Gantt, Scheduler, Kanban, diagrams, charts, grids, spreadsheets, calendars, trees, forms, and more. DHTMLX helps to advance web development and build feature-rich data-intensive applications of any complexity. One of the key advantages of DHTMLX is its compatibility with different web frameworks, including React, Angular, and Vue.js, which makes it a great choice for developers who are already working with these frameworks. DHTMLX is also designed with performance in mind. Its components are optimized for fast rendering. A comprehensive and rich API provides a straightforward way to manipulate JavaScript/HTML5 UI widgets. The library has detailed API documentation, tutorials, and examples that help developers quickly get up to speed and start building their apps.
  • 18
    Spread.NET

    Spread.NET

    GrapeCity

    Explore the possibilities of your .NET enterprise apps with these dependency-free .NET spreadsheet components. .NET spreadsheet components are advanced software components that allow professional developers to add complete Excel-like functionality to their desktop applications. The .NET spreadsheet control includes support for Excel import/export, full cell customization, an extensive calculation engine with over 450 functions and more, all with zero dependencies on Excel. Leverage the extensive .NET spreadsheet API and powerful calculation engine to create analysis, budgeting, dashboard, data collection and management, scientific, and financial applications. Every platform of Spread.NET ensures maximum performance and speed for your enterprise apps, and its modular structure means you only need to add what you use to your .NET spreadsheet apps.
    Starting Price: $1499.00/year/user
  • 19
    IMSL

    IMSL

    Perforce

    Enhance performance and save development time with IMSL numerical libraries. Achieve your strategic objectives using IMSL's build tools. Model regression, make decision trees, establish neural networks, and forecast time series with your IMSL library. Rigorously tested and proven for decades across all industries, the IMSL C Numerical Library gives companies a dependable, high-ROI solution for building cutting-edge analytics tools. From data mining and forecasting, to advanced statistical analysis, the IMSL C Numerical Library can help teams quickly add sophisticated functionality to analytic applications. The IMSL C library makes integration and deployment easy. Enjoy easy migrations, support for common platforms and platform combinations, and no added infrastructure on embed in databases or applications.
  • 20
    pexpect

    pexpect

    pexpect

    Pexpect makes Python a better tool for controlling other applications. Pexpect is a pure Python module for spawning child applications; controlling them, and responding to expected patterns in their output. Pexpect works like Don Libes’ Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands. Pexpect can be used for automating interactive applications such as ssh, FTP, passwd, telnet, etc. It can be used to automate setup scripts for duplicating software package installations on different servers. It can be used for automated software testing. Pexpect is in the spirit of Don Libes’ Expect, but Pexpect is pure Python. Unlike other Expect-like modules for Python, Pexpect does not require TCL or Expect nor does it require C extensions to be compiled. It should work on any platform that supports the standard Python pty module. The Pexpect interface was designed to be easy to use.
    Starting Price: Free
  • 21
    websockets

    websockets

    Python Software Foundation

    An implementation of the WebSocket Protocol (RFC 6455 & 7692). websockets is a library for building WebSocket servers and clients in Python with a focus on correctness, simplicity, robustness, and performance. Built on top of asyncio, Python’s standard asynchronous I/O framework, it provides an elegant coroutine-based API. websockets is heavily tested for compliance with RFC 6455. Continuous integration fails under 100% branch coverage. websockets is built for production. For example, it was the only library to handle backpressure correctly before the issue became widely known in the Python community. Memory usage is optimized and configurable. A C extension accelerates expensive operations. It’s pre-compiled for Linux, macOS, and Windows and packaged in the wheel format for each system and Python version. websockets takes care of everything under the hood so you can focus on your application!
    Starting Price: Free
  • 22
    zope.interface

    zope.interface

    Python Software Foundation

    This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of “object interfaces” for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as an implementation of the Design By Contract methodology support in Python. Interfaces are objects that specify (document) the external behavior of objects that “provide” them. An interface specifies behavior through informal documentation in a doc string, attribute definitions, and invariants, which are conditions that must hold for objects that provide the interface. Attribute definitions specify specific attributes. They define the attribute name and provide documentation and constraints of attribute values. Attribute definitions can take a number of forms.
    Starting Price: Free
  • 23
    Mako

    Mako

    Mako

    It provides a familiar, non-XML syntax that compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. As templates are ultimately compiled into Python bytecode, Mako's approach is extremely efficient and was originally written to be just as fast as Cheetah. Today, Mako is very close in speed to Jinja2, which uses a similar approach and for which Mako was an inspiration. Can access variables from their enclosing scope as well as the template's request context
    Starting Price: Free
  • 24
    yarl

    yarl

    Python Software Foundation

    All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.
    Starting Price: Free
  • 25
    urllib3

    urllib3

    urllib3

    urllib3 is a powerful, user-friendly HTTP client for Python. Much of the Python ecosystem already uses urllib3 and you should too. urllib3 brings many critical features that are missing from the Python standard libraries. Thread safety, connection pooling, client-side TLS/SSL verification. File uploads with multipart encoding. Helpers for retrying requests and dealing with HTTP redirects. Support for gzip, deflate, and brotli encoding. Proxy support for HTTP and SOCKS. 100% test coverage. urllib3 is one of the most downloaded packages on PyPI and is a dependency of many popular Python packages like Requests, Pip, and more! urllib3 is made available under the MIT License. The API Reference documentation provides API-level documentation. The User Guide is the place to go to learn how to use the library and accomplish common tasks. The more in-depth Advanced Usage guide is the place to go for lower-level tweaking.
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    imageio

    imageio

    imageio

    Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.
    Starting Price: Free
  • 27
    tox

    tox

    tox

    tox aims to automate and standardize testing in Python. It is part of a larger vision of easing the packaging, testing and release process of Python software. tox is a generic virtualenv management and test command-line tool you can use for checking that your package installs correctly with different Python versions and interpreters, running your tests in each of the environments, configuring your test tool of choice, and acting as a frontend to continuous integration servers, greatly reducing boilerplate and merging CI and shell-based testing. First, install tox with pip install tox. Then put basic information about your project and the test environments you want your project to run in into a tox.ini file residing right next to your setup.py file. You can also try generating a tox.ini file automatically, by running tox-quickstart and then answering a few simple questions. Install and test your project against Python2.7 and Python3.6.
    Starting Price: Free
  • 28
    openpyxl

    openpyxl

    openpyxl

    openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files. It was born from a lack of an existing library to read/write natively from Python in the Office Open XML format. All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel. By default, openpyxl does not guard against quadratic blowup or billion laughs XML attacks. To guard against these attacks install defusedxml. Install openpyxl using pip. It is advisable to do this in a Python virtualenv without system packages. Sometimes you might want to work with the checkout of a particular version. This may be the case if bugs have been fixed but a release has not yet been made. There is no need to create a file on the filesystem to get started with openpyxl. Just import the Workbook class and start work. Sheets are given a name automatically when they are created. Once you gave a worksheet a name, you can get it as a key of the workbook.
    Starting Price: Free
  • 29
    gTTS

    gTTS

    gTTS

    gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate's text-to-speech API. Write spoken mp3 data to a file, a file-like object (bytestring) for further audio manipulation, or stdout. Or simply pre-generate Google Translate TTS request URLs to feed to an external program. Customizable speech-specific sentence tokenizer that allows for unlimited lengths of text to be read, all while keeping proper intonation, abbreviations, decimals and more. Customizable text pre-processors which can, for example, provide pronunciation corrections.
    Starting Price: Free
  • 30
    gevent

    gevent

    gevent

    gevent is a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. gevent is inspired by eventlet but features a more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent.
    Starting Price: Free
  • 31
    Fluree

    Fluree

    Fluree

    Fluree is an immutable RDF graph database written in Clojure and adhering to W3C standards, supporting JSON and JSON-LD while accommodating various RDF ontologies; it boasts a scalable, cloud-native architecture utilizing a lightweight Java runtime, with individually scalable ledger and graph database components, embodying a "Data-Centric" ideology that treats data as a reusable asset independent of singular applications, underpinned by an immutable ledger that secures transactions with cryptographic integrity, alongside a rich RDF graph database capable of various queries, and employs SmartFunctions for enforcing data management rules, including identity and access management and data quality.
  • 32
    waiting

    waiting

    Python Software Foundation

    waiting is a small library for waiting for stuff to happen. It basically waits for a function to return True, in various modes. Waiting is compatible with flux for simulated timelines. The most basic usage is when you have a function you want to wait for. Waiting forever is very simple. If your predicate returns a value, it will be returned as the result of wait(). A timeout parameter can also be specified. When a timeout expires without the predicate being fulfilled, an exception is thrown. Sleeping polls the predicate at a certain interval (by default 1 second). The interval can be changed with the sleep_seconds argument. When waiting for multiple predicates, waiting provides two simple facilities to help aggregate them, any and all. They resemble Python’s built-in any() and all(), except that they don’t call a predicate once it has been satisfied (this is useful when the predicates are inefficient and take time to complete).
    Starting Price: Free
  • 33
    Bokeh

    Bokeh

    Bokeh

    Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.
    Starting Price: Free
  • 34
    Seaborn

    Seaborn

    Seaborn

    Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery to see some of the things that you can do with seaborn, and then check out the tutorials or API reference to find out how. To see the code or report a bug, please visit the GitHub repository. General support questions are most at home on StackOverflow, which has a dedicated channel for seaborn.
  • 35
    Oracle Data Access Components (ODAC)
    Oracle Data Access Components (ODAC) are a set of Windows and .NET data access drivers and tools. They include support for .NET data access, Microsoft Visual Studio tools for developing Oracle database applications; and ASP.NET providers. ODAC provides comprehensive client support for advanced Oracle database functionality, including performance, high availability, and security, among other features. It is tightly integrated with Visual Studio to provide a seamless development experience for developers. Oracle Data Provider for .NET is an implementation of Microsoft's ADO.NET interface and provides access to Oracle databases. OLAP Data Manipulation Language (OLAP DML) is used to define and manipulate analytic workspace objects. High performance, a feature-rich mechanism for Microsoft ADO and OLE DB data access to Oracle databases, its usage, and its configuration. Provides introductory, installation, post-installation configuration, and usage information.
    Starting Price: Free
  • 36
    Formidable Victory
    Victory is a set of modular charting components for React and React Native. Victory makes it easy to get started without sacrificing flexibility. Create one-of-a-kind data visualizations with fully customizable styles and behaviors. Victory uses the same API for web and React Native applications for easy cross-platform charting. Fully contained, reusable data visualization elements are responsible for their own styles and behaviors. A React.js based library for creating sleek presentations using JSX syntax with the ability to live demo your code! Universal React Query Library is a blazing-fast GraphQL client, exposed as a set of ReactJS components. A physics-based animation library for React inspired by the natural world.
    Starting Price: Free
  • 37
    Polymer

    Polymer

    Polymer

    The Polymer library provides a set of features for creating custom elements. These features are designed to make it easier and faster to make custom elements that work like standard DOM elements. Similar to standard DOM elements, Polymer elements can be instantiated using a constructor or document creation element, configured using attributes or properties, populated with internal DOM inside each instance, responsive to property and attribute changes, styled with internal defaults or externally, and responsive to methods that manipulate its internal state. Registering an element associates a class with a custom element name. The element provides callbacks to manage its lifecycle. Polymer also lets you declare properties, to integrate your element's property API with the Polymer data system. Shadow DOM provides a local, encapsulated DOM tree for your element. Polymer can automatically create and populate a shadow tree for your element from a DOM template.
    Starting Price: Free
  • 38
    Semantic UI React
    Semantic UI React is the official React integration for Semantic UI. jQuery-free, declarative API, augmentation, shorthand props, sub-components, auto controlled state. jQuery is a DOM manipulation library. It reads from and writes to the DOM. React uses a virtual DOM (a JavaScript representation of the real DOM). React only writes patch updates to the DOM, but never reads from it. It is not feasible to keep real DOM manipulations in sync with React's virtual DOM. Because of this, all jQuery functionality has been re-implemented in React. Control the rendered HTML tag, or render one component as another component. Extra props are passed to the component you are rendering as. Augmentation is powerful. You can compose component features and props without adding extra nested components. Shorthand props generate markup for you, making many use cases a breeze. All object props are spread on the child components.
  • 39
    warcat

    warcat

    Python Software Foundation

    Tool and library for handling Web ARChive (WARC) files. Naively join archives into one. Extract files from archive. List commands available. List contents of archive. Load archive and write it back out. Split archives into individual records. Verify digest and validate conformance. The library may not be entirely thread-safe yet. The goal of the Warcat project is to create a tool and library as easily and fast as manipulating any other archive such as tar and zip archives. Warcat is designed to handle large, gzip-ed files by partially extracting them as needed. Warcat is provided without warranty and cannot guarantee the safety of your files. Remember to make backups and test them! A WARC file contains one or more records concatenated together. Each record contains named fields, newline, a content block, newline, and newline. A Content Block may be two types, {binary data} or {Named Fields, newline, and binary data}.
    Starting Price: Free
  • 40
    Jspreadsheet

    Jspreadsheet

    Jspreadsheet

    Jspreadsheet is a robust full-stack JavaScript data grid solution that directly integrates the functionality and user-friendly experience of spreadsheet applications like Excel and Google Sheets into your web applications. It offers a smooth, efficient user interface, enabling batch actions, table manipulation, and a host of other features that ensure flawless compatibility between your web application and Excel/Sheets. This familiar environment enhances productivity, simplifies user adoption, and minimizes the need for extensive training. Jspreadsheet is a comprehensive solution designed to meet a variety of application requirements in spreadsheet and data management for web platforms. It optimizes workflow development, streamlines process automation, and facilitates the smooth transition of tasks from Excel to the web. Additionally, Jspreadsheet provides a wide range of extensions to address diverse needs within the data grid and spreadsheet ecosystem, making it a versatile choice.
    Starting Price: $49 per developer
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    Nullstack

    Nullstack

    Nullstack

    Write the backend and frontend of a feature in a single component and let the framework decide where the code should run. Nullstack provides you with all the tools you need to stay focused on the product. On the first render, you'll get SEO-ready HTML optimized for the first paint of your route in a single request using local functions with zero JavaScript dependencies in the client bundle. After the content is served and the network is idle Nullstack JavaScript is loaded, the state of the application is restored through hydration and it becomes a single-page application. Subsequent server functions will fetch JSON from an automatically generated microservice API, deserialize the response, update the application state, and rerender the page out of the box. A full stack lifecycle combined with a feature-driven mindset allows you to write clean and reusable code without the need to create APIs manually.
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    NG-Lightning

    NG-Lightning

    NG-Lightning

    Built upon next generation frameworks like Angular and Salesforce's Lightning Design System, rest ​assured that you are building an application to stand the test of time. We focus on building stateless functional components that depend only on their input properties, guaranteeing better performance, more development flexibility and seamless integration with your application's requirements. We put a lot of effort to follow Lightning Design System's accessibility guidelines, to assure that your product is operable by people with a wide range of abilities and meets all legal requirements. Including SLDS CSS files and a small set of structural styles of CDK, is required for your application to work correctly. If you are using the Angular CLI, you need to add the following to the styles array of your angular.json file.
    Starting Price: Free
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    cryptography

    cryptography

    cryptography

    cryptography includes both high-level recipes and low-level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests, and key derivation functions. Encrypt with cryptography’s high-level symmetric encryption recipe. cryptography is broadly divided into two levels. One with safe cryptographic recipes that require little to no configuration choices. These are safe and easy to use and don’t require developers to make many decisions. The other level is low-level cryptographic primitives. These are often dangerous and can be used incorrectly. They require making decisions and having an in-depth knowledge of the cryptographic concepts at work. Because of the potential danger in working at this level, this is referred to as the “hazardous materials” or “hazmat” layer. These live in the cryptography.hazmat package, and their documentation will always contain an admonition at the top.
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    Leaflet

    Leaflet

    Leaflet

    Leaflet is the leading open-source JavaScript library for mobile-friendly interactive maps. Weighing just about 42 KB of JS, it has all the mapping features most developers ever need. Leaflet is designed with simplicity, performance, and usability in mind. It works efficiently across all major desktop and mobile platforms, can be extended with lots of plugins, has a beautiful, easy-to-use, and well-documented API, and a simple, readable source code that is a joy to contribute to. Leaflet doesn't try to do everything for everyone. Instead, it focuses on making the basic things work perfectly. Hardware acceleration on mobile makes it feel as smooth as native apps. Utilizing CSS3 features to make panning and zooming really smooth. Smart polyline/polygon rendering with dynamic clipping and simplification makes it very fast. The modular build system for leaving out features you don't need. Tap delay elimination on mobile.
    Starting Price: Free
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    SpreadJS

    SpreadJS

    GrapeCity

    Deliver true Excel-like spreadsheet experiences, fast - with zero dependencies on Excel. Create financial apps, dashboards, charts, pivot tables, performance benchmarks, science lab notebooks, and other similar JavaScript spreadsheet applications. JavaScript spreadsheet components are software elements that help developers add Excel-like functionality to web applications. SpreadJS is a suite of JavaScript spreadsheet controls that includes import/export, data inputs, cell customization, and an extensive calculation engine with over 500 functions. With over 25 years of experience in creating award-winning spreadsheets for professional developers, we already know what you want and need. No other spreadsheet vendor can match that. Put our spreadsheet experience to work for you today.
    Starting Price: $1,499 per developer
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    BuildVu

    BuildVu

    IDR Solutions

    With BuildVu, you’ll unlock precise PDF-to-HTML/SVG conversion, giving you greater control and added functionality over PDF in your web application. -Optimized Content: BuildVu intelligently converts PDFs, optimizing for smaller file sizes and fast rendering in browsers. -File Metadata: Access PDF data in JSON format, including metadata, word lists, outlines (bookmarks), and annotations. -Thumbnails: Generate high-quality page thumbnails with customizable dimensions. -Annotations: Enjoy support for various annotation types (Links, Popups, Sound/Video, Text, Highlight, Underline) in easy-to-use JSON format. -search.json: Extract all text from the document alongside the HTML content. -Font Conversion: Restructure embedded fonts for compatibility across web browsers. -Office Conversion: Combine BuildVu with LibreOffice for seamless conversion from Office formats (Word, PowerPoint, Excel).
    Starting Price: $450 per month
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    ACE4J

    ACE4J

    ACE4J

    The Adaptive Calculation Engine for Java ACE4J provides a reliable platform for converting Excel-based applications into web applications at a low cost, efficiently, and with guaranteed easy maintenance and support in the future. At the same time ACE4J is a modern formula language based on a robust and efficient calculation engine, that is capable of evaluating complex Excel formulas. Thus it is also a great tool for new Java based Web applications that require heavy calculations. The Adaptive Calculation Engine (ACE4J) is a Java API used to evaluate the formulas written in Microsoft Excel style. This engine provides the most popular Microsoft Excel functions which are frequently encountered in applications that require heavy calculations. The number of available formulas and features increases with every Adaptive Calculation Engine release based on feedback from our customers. Adaptive Calculation Engine is capable of evaluating thousands of formulas within seconds.
    Starting Price: $2,999 one-time payment
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    nuvo

    nuvo

    nuvo

    nuvo offers AI-powered, secure and scalable data onboarding solutions that empower you and your customers to map, validate, and clean data effortlessly – regardless of the input format. Don't let complex data mappings and transformations burden your developers. Reduce the time you use internally for customer data imports by 90%, or shift completely to a customer self-service model and empower your customers to import their data via an intuitive user interface. With our nuvo Data Importer SDK, we support software companies like Sastrify, Prewave, and Insurwave by automating their data imports, eliminating import errors, and freeing up their development resources to focus on core product functionalities. Experience the power of nuvo yourself! Start a free trial or schedule a quick demo with our team at getnuvo.com.
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    Onymos

    Onymos

    Onymos

    Time to market can make or break any app dev project. Yet many enterprises, agencies, and developers slow innovation by burning countless hours building core functionality from scratch and extending development timelines. When you can get the Features your app needs out of the box, development begins with the foundation already in place, and you can move fast from day one. Cut development time by as much as 80%. You can deploy in days, not months when you build your app with ready-made, full-stack features from Onymos. The average Onymos feature has over a thousand hours of development time, and that number’s only getting bigger. When software or APIs get updated, our features do too. UI/UX, front-end logic, and integrated cloud services like Stripe, APNs, and Amazon S3. When you use Onymos Features, you get it all. Companies like Albertsons, CVS Pharmacy, and Walmart are already building their apps with Onymos.
    Starting Price: $0.60 per month
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    Beautiful Soup

    Beautiful Soup

    Beautiful Soup

    Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree. Beautiful Soup's support for Python 2 was discontinued on December 31, 2020: one year after the sunset date for Python 2 itself. From this point onward, new Beautiful Soup development will exclusively target Python 3. The final release of Beautiful Soup 4 to support Python 2 was 4.9.3. Beautiful Soup is licensed under the MIT license, so you can also download the tarball, drop the bs4/ directory into almost any Python application (or into your library path) and start using it immediately.