Alternatives to PyQtGraph
Compare PyQtGraph alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to PyQtGraph in 2025. Compare features, ratings, user reviews, pricing, and more from PyQtGraph competitors and alternatives in order to make an informed decision for your business.
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1
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 -
2
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.Starting Price: Free -
3
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 -
4
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 -
5
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 -
6
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 -
7
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 -
8
LigPlot+
EMBL-EBI
LigPlot+ is a successor to our original LIGPLOT program for the automatic generation of 2D ligand-protein interaction diagrams. It is run from an intuitive java interface that allows on-screen editing of the plots via mouse click-and-drag operations. In addition to the new interface, the program includes several major enhancements over the old version. When two or more ligand-protein complexes are sufficiently similar, LigPlot+ can automatically display their interaction diagrams either superposed or side by side. Any conserved interactions are highlighted. The LigPlot+ suite also now includes an update of the original DIMPLOT program for plotting protein-protein or domain-domain interactions. Users can flexibly select the interface of interest and DIMPLOT will then generate a diagram showing the residue-residue interactions across the interface. To assist in interpretation, the residues in one of the interfaces can be optionally displayed in sequence order. -
9
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 -
10
ezPower POS
Denver Research
ezPower POS is available in three interface styles. Each operates with a bar code scanner, keyboard and mouse. Our Graphical Display interface allows you to use a Touch Screen monitor or a regular monitor with mouse. The graphical display makes ringing up sales fast and easy for you and your employees. Ring up sales by scanning a bar code, a click of the mouse or a touch of your finger (Touch Screen). Your items are automatically arranged by category. The Business Style display provides a more traditional and powerful method of ringing up sales. Simple one button view of 'Sales by Hour of Week'. A graph of total sales grouped by the hour of the Week. This can assist manpower planning and hours of operation efficiency. The 'Twelve Month Trend Graph' gives a wide perspective of profit margins and sales. Want to increase margins and see how it affects sales. It's as easy as one button. -
11
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 -
12
Cython
Cython
Cython is an optimizing static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. Cython gives you the combined power of Python and C to let you write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes.Starting Price: Free -
13
GNU DDD
GNU
GNU DDD is a graphical front-end for command-line debuggers such as GDB, DBX, WDB, Ladebug, JDB, XDB, the Perl debugger, the bash debugger bashdb, the GNU Make debugger remake or the Python debugger pydb. Besides usual front-end features such as viewing source texts. DDD has become famous through its interactive graphical data display, where data structures are displayed as graphs. You can support the principle of software freedom by buying stuff from the FSF shop. To run DDD, you need the GNU debugger (GDB), version 4.16 or later (or depending on the program to be debugged, possibly other command-line debuggers such as Ladebug, JDB, XDB, the Perl debugger, the bash debugger bashdb, the GNU Make debugger remake, or the Python debugger pydb). -
14
NetworkX
NetworkX
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Generators for classic graphs, random graphs, and synthetic networks. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Network structure and analysis measures.Starting Price: Free -
15
Avanzai
Avanzai
Avanzai helps accelerate your financial data analysis by letting you use natural language to output production-ready Python code. Avanzai speeds up financial data analysis for both beginners and experts using plain English. Plot times series data, equity index members, and even stock performance data using natural prompts. Skip the boring parts of financial analysis by leveraging AI to generate code with relevant Python packages already installed. Further edit the code if you wish, once you're ready copy and paste the code into your local environment and get straight to business. Leverage commonly used Python packages for quant analysis such as Pandas, Numpy, etc using plain English. Take financial analysis to the next level, quickly pull fundamental data and calculate the performance of nearly all US stocks. Enhance your investment decisions with accurate and up-to-date information. Avanzai empowers you to write the same Python code that quants use to analyze complex financial data. -
16
Building Manager Online
Obvius
Building Manager Online provides users quick and easy access to energy information. With BMO, you can plot charts and view your data quickly without any custom software installed on your PC. Simply logon to the BMO website, investigate any alarms, select the data period from a drop-down calendar, and view the information in intervals from one year to as little as an hour with the click of a mouse. Quickly view any building or end-use for a summary of operating parameters with a mouse click. Copy and paste graphs into your own reports with BMO's convenient legends. Investigate potential building problems easily with BMO's "Click to Zoom" feature. Plot charts to show trends. Select date ranges to display information. BMO gives you the ability to remotely configure AcquiSuite devices deployed in the field. Configuring the AcquiSuite remotely over the BMO website minimizes communications costs and your reliance on end-user dedicated phone lines.Starting Price: $195 per year -
17
NiceGUI
NiceGUI
NiceGUI is an open source Python library that enables developers to create web-based graphical user interfaces (GUIs) using only Python code. It provides a gentle learning curve while still offering the option for advanced customizations. NiceGUI follows a backend-first philosophy: it handles all the web development details, allowing developers to focus on writing Python code. This makes it ideal for a wide range of projects, including short scripts, dashboards, robotics projects, IoT solutions, smart home automation, and machine learning. The framework is built on FastAPI for backend operations, Vue.js for frontend interaction, and Tailwind CSS for styling. Developers can create buttons, dialogs, Markdown, 3D scenes, plots, and more, all within a Python environment. NiceGUI supports real-time interactivity through WebSocket connections, enabling instant updates in the browser without page reloads. It offers a variety of components and layout options, such as rows, columns, etc.Starting Price: Free -
18
JAX
JAX
JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. -
19
LogPlot8
RockWare, Inc.
LogPlot is an easy-to-use log plotting program with a flexible log layout and intuitive data editor. LogPlot software has been used by geoscientists since 1983 to display their geotechnical, environmental, geophysical, mud/gas, and mining data as a graphic boring log. Plot single-page logs for shallow borings or multi-page/continuous logs for deep wells. Share logs with clients via PDF or post HTML log pages on your website. Export single pages or continuous logs to JPG, BMP, TIFF, and PNG images.Starting Price: $899.00 -
20
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 -
21
CSols AqcTools
CSols
CSols AqcTools™ v2.6 allows users to dynamically display Analytical Quality Control (AQC) charts to monitor lab performance, provides paper-free, auditable investigations of control limit failures, includes comprehensive reports and reduces the time to assess and process your QC data. Customers in water, environmental, public health sector and industrial laboratories undertaking chemical, clinical and microbiological analysis will benefit from AqcTools. It provides a selection of ‘dynamic, interactive’ charts from the standard ‘individual plotted AQC points’ to charts that can use batch or daily means of data, for both current and historic data. In addition, users can plot charts for an individual analyst to support the labs on-going analyst competency checking. All of the information relating to each individual point such as date, batch number, analyst, instrument etc. is just one mouse click away. -
22
scikit-learn
scikit-learn
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.Starting Price: Free -
23
PyAutoGUI
PyAutoGUI
PyAutoGUI lets your Python scripts control the mouse and keyboard to automate interactions with other applications. The API is designed to be simple. PyAutoGUI works on Windows, macOS, and Linux, and runs on Python 2 and 3. Moving the mouse and clicking in the windows of other applications. Sending keystrokes to applications (for example, to fill out forms). Take screenshots, and give an image (for example, of a button or checkbox), and find it on the screen. Locate an application’s window, and move, resize, maximize, minimize, or close it (Windows-only, currently). Display alert and message boxes. The bot watches the game’s application window and searches for images of sushi orders. When it finds one, it clicks the ingredient buttons to make the sushi. It also clicks the phone in the game to order more ingredients as needed. The bot is completely autonomous and can finish all seven days of the game. This is the kind of automation that PyAutoGUI is capable of.Starting Price: Free -
24
CoPlot
CoHort Software
CoPlot Version 6.45 is an incredibly versatile program for making publication-quality 2D and 3D scientific graphs (which plot data and equations), maps, and technical drawings. Every aspect of CoPlot has been designed around one basic goal: to make a program that is so versatile that scientists and engineers can easily get exactly what they want. CoPlot includes CoStat for data handling and statistics. Create precise technical drawings with CoPlot's versatile drawing objects. CoPlot is ideal for creating genetic maps, field maps, flow charts, apparatus diagrams, circuit diagrams, chemical structures, etc. See the sample drawings.The text in drawing objects and graphs can include HTML-like text formatting tags and over 1000 special characters. Make great scientific graphs and maps. CoPlot has seven basic types of graphs, over 40 ways of plotting data, 18 ways to plot equations, incredibly flexible attributes, asymmetric and horizontal error bars, 12 different axis types, etc.Starting Price: $280 one-time payment -
25
E-ICEBLUE
E-ICEBLUE
E-iceblue provides a comprehensive suite of professional development libraries and APIs designed to enable developers to create, read, write, edit, convert, print, manipulate and view a wide range of document formats programmatically across multiple programming environments without relying on external applications like Microsoft Office or Adobe Acrobat. Its product range includes Spire.Office and individual components for .NET platforms (such as Spire.Doc, Spire.XLS, Spire.Presentation, Spire.PDF, Spire.Barcode, Spire.Email and Spire.OCR) that handle Word, Excel, PowerPoint, PDF, barcode generation and email operations in C#, VB.NET, ASP.NET, .NET Core, Xamarin and WPF applications, plus viewer libraries for embedded document display. E-iceblue also offers equivalent APIs for Java, C++, Python and JavaScript, as well as mobile and cloud libraries (including Spire.Cloud.Office with HTML5 browser support for Word and Excel), supporting document processing tasks. -
26
Beaker Notebook
Two Sigma Open Source
BeakerX is a collection of kernels and extensions to the Jupyter interactive computing environment. It provides JVM support, Spark cluster support, polyglot programming, interactive plots, tables, forms, publishing, and more. All of BeakerX’s JVM languages plus Python and JavaScript have APIs for interactive time-series, scatter plots, histograms, heatmaps, and treemaps. The widgets remain interactive in both notebooks saved to disk, and notebooks published to the web. They include unique features for handling many points, nanosecond resolution, zooming, and exporting. BeakerX’s table widget automatically recognizes pandas data frames and allows you to search, sort, drag, filter, format, select, graph, hide, pin, and export to CSV or clipboard. This makes connecting to spreadsheets quickly and easy. BeakerX has a Spark magic with GUIs for configuration, status, progress, and interrupt of Spark jobs. You can either use the GUI or create your own SparkSession with code. -
27
OGP TurnCheck
OGP
TurnCheck software is fast and easy to program with a focus on what you want to measure rather than how to measure it. Automatic feature extraction immediately finds and measures all part features in a single scan. A single image displaying the entire part allows you to easily see all basic shaft measurements at once. Rotational scans can be done for form and runout measurements providing plots to truly visualize the results. Pre-programmed parts are automatically rotationally aligned allowing for fast and intelligent one-touch measurement every time. For effortless thread analysis, a large variety of common types are part of an integrated thread library to quickly obtain results such as pitch and major/minor diameter. Data points can be compared directly to a DXF model including 2D GD&T analysis. Additional data points can be output to optional SmartProfile® software for 3D analysis and advanced GD&T. -
28
SplineCloud
SplineCloud
SplineCloud is an open knowledge management platform designed to facilitate the discovery, formalization, and exchange of structured and reusable knowledge in science and engineering. It enables users to organize data into structured repositories, making it findable and accessible. The platform offers tools such as an online plot digitizer for extracting data from graphs and an interactive curve fitting tool that allows users to define functional relationships in datasets using smooth spline functions. Users can also reuse datasets and relations in their models and calculations by accessing them directly through the SplineCloud API or by utilizing open source client libraries for Python and MATLAB. The platform supports the development of reusable engineering and analytical applications, aiming to reduce redundancy in design processes, preserve expert knowledge, and facilitate better decision-making. -
29
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 -
30
Orange
University of Ljubljana
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. -
31
python-docx
python-docx
python-docx is a Python library for creating and updating Microsoft Word (.docx) files. Paragraphs are fundamental in Word. They’re used for body text, but also for headings and list items like bullets. You’re free to specify both width and height, but usually, you wouldn’t want to. If you specify only one, python-docx uses it to calculate the properly scaled value of the other. This way the aspect ratio is preserved and your picture doesn’t look stretched. If you don’t know what a Word paragraph style is you should definitely check it out. Basically, it allows you to apply a whole set of formatting options to a paragraph at once. python-docx allows you to create new documents as well as make changes to existing ones. Actually, it only lets you make changes to existing documents; it’s just that if you start with a document that doesn’t have any content, it might feel at first like you’re creating one from scratch.Starting Price: Free -
32
ggplot2
ggplot2
ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. -
33
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. -
34
Dask
Dask
Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. This helps open source leaders parallelize their own packages and helps business leaders scale custom business logic. -
35
Loupe Browser
10x Genomics
Loupe Browser is a powerful visualization software that provides the intuitive functionality you need to explore and analyze your 10x Genomics Chromium and Visium data. You can also convert your Seurat objects into Loupe Browser files using the LoupeR package. The navigation and interactive functionality of the Loupe Browser interface uses a lung squamous cell carcinoma dataset. The workspace is centered around the view panel in which single points representing cell barcodes are shown in a variety of projections. Each point represents a single barcode, the vast majority of which correspond to a single cell. The default projection is the t-SNE plot created by the cell ranger pipeline, though other projections are available. You can drag the mouse over the cells to reposition the plot and use the mouse wheel or trackpad to zoom in and out. Cluster labels appear as you move your mouse over the plot, which is useful for data that has a high number of precomputed clusters. -
36
Maple Flow
Maplesoft
Maple Flow is a mathematics tool that makes it easy for engineers to brainstorm, develop, and document their design calculations. Combining a simple, freeform interface with a comprehensive math engine, Maple Flow provides a whiteboard-style environment that automatically keeps calculations live as users refine, reposition, and develop their work. Do calculations, write documentation and easily refine your work in an environment that does not feel like a programming tool or a spreadsheet. Place math, text, images, or plots wherever you wish, and reposition your work with the mouse or keyboard – Maple Flow keeps everything organized behind the scenes. Maple Flow contains all the powerful features that technical professionals expect in a calculation tool, with fast solvers, built-in units tracking, flexible plots, and more. -
37
Vega-Altair
Vega-Altair
The Vega-Altair open-source project is not affiliated with Altair Engineering, Inc. With Vega-Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerful Vega-Lite visualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code. The key idea is that you are declaring links between data columns and visual encoding channels, such as the x-axis, y-axis, color, etc. The rest of the plot details are handled automatically. Building on this declarative plotting idea, a surprising range of simple to sophisticated plots and visualizations can be created using relatively concise grammar.Starting Price: Free -
38
SigmaPlot
Systat Software
With an award-winning interface and intuitive wizard technology that guides users step-by-step through the graph creation and data analysis process, SigmaPlot provides the flexibility to create compelling graphs and statistical analysis you simply can’t achieve with basic spreadsheet software. With the new Graph Properties user interface you can select the property category in the tree on the left and then change properties on the right. The change is immediately graphed and if you move your cursor off the panel then it becomes transparent and you can see the effect of your changes without leaving the panel. The “select left and change right” procedure makes editing your graphs quick and easy. SigmaPlot takes you beyond simple spreadsheets to help you show off your work clearly and precisely. With SigmaPlot, you can produce high-quality graphs without spending hours in front of a computer. SigmaPlot offers seamless Microsoft Office® integration, so you can easily access data.Starting Price: $399.00/one-time/user -
39
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.Starting Price: Free -
40
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 -
41
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 -
42
SMBAct
SMBlob.com
Your personal assistant to simplify the process of interacting with all your windows and applications. All-in-one cross-platform window manager and switcher. Solve window management in a consistent way across three (Windows, MacOS, Linux) platforms. Get both window manager and window switcher in one application. Embed any website to the frameless window with the topmost functionality. Activation of any window on active display, main display, or where there is a mouse pointer, fast-moving of windows between displays, and hiding all windows only on active display. For multi-windows applications, when the target window disappears and you use the keyboard shortcut again, it will display a notification informing you that the window has been lost. So the user can use the fix/same keyboard shortcut to target a new window and ask the user to set a new keyboard shortcut to bring this window to the front.Starting Price: €8 one-time payment -
43
Workflow Engine
Optimajet
Embeddable .NET library for running workflows in .NET applications with integrated HTML5 graphical workflow designer. Designer allows you to easily create interactive workflows of any complexity, there’s no need to draft them programmatically. Workflow Engine is a backbone solution for business process management (BPM) which makes it feasible to automate the workflow design by using low-code visual builders. It is based on the .NET framework and JavaScript libraries. Workflow Engine enables workflow processing and correct integration by providing a graphic designer to create process workflow schemes and at the same time, this software component facilitates the management, execution, and visualization of workflow processes. Integration with solutions based on other technologies or databases is roughly the same and should not entail any difficulties. Workflow Engine offers its users all the components necessary to implement workflows of any complexity.Starting Price: $499 one-time payment -
44
Formidable Victory
Formidable
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 -
45
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 -
46
Angular Material
Angular
Internationalized and accessible components for everyone. Well tested to ensure performance and reliability. Straightforward APIs with consistent cross platform behaviour. Provide tools that help developers build their own custom components with common interaction patterns. Customizable within the bounds of the Material Design specification. Built by the Angular team to integrate seamlessly with Angular. Start from scratch or drop into your existing applications. Start by creating the autocomplete panel and the options displayed inside it. Each option should be defined by a mat-option tag. Set each option's value property to whatever you'd like the value of the text input to be when that option is selected.Starting Price: Free -
47
ruffus
ruffus
Ruffus is a computation pipeline library for python. It is open-sourced, powerful and user-friendly, and widely used in science and bioinformatics. Ruffus is designed to allow scientific and other analyses to be automated with the minimum of fuss and the least effort. Suitable for the simplest of tasks. Handles even fiendishly complicated pipelines which would cause make or scons to go cross-eyed and recursive. No "clever magic", no pre-processing. Unambitious, the lightweight syntax which tries to do this one small thing well. Ruffus is available under the permissive MIT free software license. This permits free use and inclusion even within proprietary software. It is good practice to run your pipeline in a temporary, “working” directory away from your original data. Ruffus is a lightweight python module for building computational pipelines. Ruffus requires Python 2.6 or higher or Python 3.0 or higher.Starting Price: Free -
48
Terrastation II
TERRASCIENCES
Provides data import and export capabilities, including LIS, DLIS, LAS, ASCII formats. Interactive data editing, depth shifting, curve splicing, along with many useful curve manipulation options. Full deterministic analysis including most Vshale, Porosity, and water saturation equations. A set of statistical analysis options including cluster analysis, Fourier analysis, multiple linear regression and more. Speed corrections, button correlation, pad/flap correlation, swing-arm, dead/faulty button, and more. Quality control plots of magnetometers and acceleration information. Build templates that are unique for each well in the section, allowing all down hole data including borehole image data to be displayed in section. -
49
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 -
50
MLJAR Studio
MLJAR
It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.Starting Price: $20 per month
