Showing 313 open source projects for "environment-modules"

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  • 1
    Python for Data Analysis

    Python for Data Analysis

    Materials and IPython notebooks for "Python for Data Analysis"

    ...Its chapters cover Python basics, NumPy, pandas, data loading, cleaning, wrangling, visualization, time series, modeling libraries, and full analysis examples. The project includes setup options using uv or Conda, with dependency files to reproduce the working environment. It is best suited for learners, analysts, and developers who want hands-on practice with the modern Python data stack.
    Downloads: 2 This Week
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  • 2
    Mage.ai

    Mage.ai

    Build, run, and manage data pipelines for integrating data

    ...Each step in your pipeline is a standalone file containing modular code that’s reusable and testable with data validations. No more DAGs with spaghetti code. Start developing locally with a single command or launch a dev environment in your cloud using Terraform. Write code in Python, SQL, or R in the same data pipeline for ultimate flexibility.
    Downloads: 0 This Week
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  • 3
    SciML Style Guide for Julia

    SciML Style Guide for Julia

    A style guide for stylish Julia developers

    The SciML Style Guide is a style guide for the Julia programming language. It is used by the SciML Open Source Scientific Machine Learning Organization. As such, it is open to discussion with the community. If the standard for code contributions is that every PR needs to support every possible input type that anyone can think of, the barrier would be too high for newcomers. Instead, the principle is to be as correct as possible to begin with, and grow the generic support over time. All...
    Downloads: 0 This Week
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  • 4
    GMT.jl

    GMT.jl

    Generic Mapping Tools Library Wrapper for Julia

    The Generic Mapping Tools, GMT, is an open source collection of tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing PostScript illustrations ranging from simple x–y plots via contour maps to artificially illuminated surfaces and 3D perspective views. This link will take you to an impressive collection of figures made with GMT. The GMT Julia wrapper was designed to work in a way the close as possible to the...
    Downloads: 0 This Week
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  • 5
    jlrs

    jlrs

    Julia bindings for Rust

    jlrs is a crate that provides access to most of the Julia C API, it can be used to embed Julia in Rust applications and to use functionality it provides when writing ccallable functions in Rust. Currently, this crate is only tested in combination with Julia 1.6 and 1.9, but also supports Julia 1.7, 1.8, and 1.10. Using the current stable version is highly recommended. The minimum supported Rust version is currently 1.65. Julia must be installed before jlrs can be used, jlrs is compatible...
    Downloads: 0 This Week
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  • 6
    Pkg Julia

    Pkg Julia

    Package manager for the Julia programming language

    ...In Pkg, since each project maintains its own independent set of package versions, you’ll never have this problem again. Moreover, if you check out a project on a new system, you can simply materialize the environment described by its manifest file and immediately be up and running.
    Downloads: 0 This Week
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  • 7
    Apache InLong

    Apache InLong

    Apache InLong - a one-stop integration framework for massive data

    ...InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats.
    Downloads: 0 This Week
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  • 8
    PyVista

    PyVista

    3D plotting and mesh analysis through a streamlined interface

    ...This package provides a Pythonic, well-documented interface exposing VTK’s powerful visualization backend to facilitate rapid prototyping, analysis, and visual integration of spatially referenced datasets. This module can be used for scientific plotting for presentations and research papers as well as a supporting module for other mesh-dependent Python modules. Easily integrate with NumPy and create a variety of geometries and plot them. You could use any geometry to create your glyphs, or even plot the points directly. Direct access to mesh analysis and transformation routines. Intuitive plotting routines with matplotlib similar syntax.
    Downloads: 0 This Week
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  • 9
    JavaCall.jl

    JavaCall.jl

    Call Java from Julia

    ...Julia 1.3.0 through Julia 1.6.2 are tested and guaranteed to work on Linux, macOS, and Windows via continuous integration. Julia 1.6.2 and newer should work on Linux and Windows. The JULIA_COPY_STACKS environment variable should be set to 1 on macOS and Linux, but not Windows.
    Downloads: 0 This Week
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  • 10
    Milvus

    Milvus

    Vector database for scalable similarity search and AI applications

    Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion vector datasets. Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. ...
    Downloads: 3 This Week
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  • 11
    Fluid

    Fluid

    Fluid, elastic data abstraction and acceleration for BigData/AI apps

    Fluid, elastic data abstraction and acceleration for BigData/AI applications in the cloud. Provide DataSet abstraction for underlying heterogeneous data sources with multidimensional management in a cloud environment. Enable dataset warmup and acceleration for data-intensive applications by using a distributed cache in Kubernetes with observability, portability, and scalability. Taking characteristics of application and data into consideration for cloud application/dataset scheduling to improve the performance.
    Downloads: 0 This Week
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  • 12
    F2

    F2

    An elegant, interactive and flexible charting library for mobile

    F2 is an out-of-the-box visualization engine focused on the mobile terminal, oriented to conventional statistical charts, perfectly supporting the H5 environment and compatible with multiple environments (Node, applet), complete graphics grammar theory, to meet your various visualization needs , professional mobile design guidelines to bring you the best mobile graphics experience. Best practices for moving side charts around design, performance and heterogeneous environments. Based on the grammar of graphics, Flexible construction of various charts (50+), complete components, covering various scenarios. ...
    Downloads: 1 This Week
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  • 13
    AutoGluon

    AutoGluon

    AutoGluon: AutoML for Image, Text, and Tabular Data

    ...Leverage automatic hyperparameter tuning, model selection/ensembling, architecture search, and data processing. Easily improve/tune your bespoke models and data pipelines, or customize AutoGluon for your use-case. AutoGluon is modularized into sub-modules specialized for tabular, text, or image data. You can reduce the number of dependencies required by solely installing a specific sub-module via: python3 -m pip install <submodule>.
    Downloads: 0 This Week
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  • 14
    DIY Split-Flap Display

    DIY Split-Flap Display

    DIY split-flap display

    This is a work in progress split-flap display. Each module can flip between 40 unique characters: letters, numbers, and a few symbols. Multiple modules fit perfectly alongside each other to build bigger displays. The primary design goal was to make something that's possible to fabricate at home in small or single quantities and can be customized and built by an intermediate hobbyist at a reasonable price. This meant using widely available materials and avoiding any tooling with a high upfront cost. ...
    Downloads: 0 This Week
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  • 15
    SPX

    SPX

    A simple & straight-to-the-point PHP profiling extension

    ...It differentiates itself from other similar extensions as being totally free and confined to your infrastructure (i.e. no data leaks to a SaaS). Very simple to use: just set an environment variable (command line) or switch on a radio button (web request) to profile your script. Thus, you are free of manually instrumenting your code (Ctrl-C a long running command line script is even supported). Using a dedicated browser extension or command line launcher. Multi metrics capable: 22 are currently supported (various time & memory metrics, included files, objects in use, I/O...). ...
    Downloads: 2 This Week
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  • 16
    Julia VS Code

    Julia VS Code

    Julia extension for Visual Studio Code

    ...We build on Julia’s unique combination of ease-of-use and performance. Beginners and experts can build better software more quickly, and get to a result faster. With a completely live environment, Julia for VS Code aims to take the frustration and guesswork out of programming and put the fun back in. A hybrid “canvas programming” style combines the exploratory power of a notebook with the productivity and static analysis features of an IDE. VS Code is a powerful editor and customizable to your heart’s content (though the defaults are pretty good too). ...
    Downloads: 0 This Week
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  • 17
    CellTypist

    CellTypist

    A tool for semi-automatic cell type classification, harmonization

    CellTypist is an automated tool for cell type classification, harmonization, and integration. Classification, transfer cell type labels from the reference to query dataset. Harmonization, match and harmonize cell types defined by independent datasets. integration, integrate cell and cell types with supervision from harmonization. CellTypist recapitulates cell type structure and biology of independent datasets. Regularised linear models with Stochastic Gradient Descent provide a fast and...
    Downloads: 0 This Week
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  • 18
    Gradle Docker Compose Plugin

    Gradle Docker Compose Plugin

    Simplifies usage of Docker Compose for integration testing

    The Gradle Docker Compose Plugin by Avast integrates Docker Compose lifecycle management into Gradle builds. It allows developers to define and manage Docker containers required for integration testing or local development directly from their Gradle build scripts. This plugin automates the startup and shutdown of services, supports container health checks, and enables tight integration between application code and containerized services, enhancing reproducibility and automation in...
    Downloads: 0 This Week
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  • 19
    Pyper

    Pyper

    Concurrent Python made simple

    Pyper is a Python-native orchestration and scheduling framework designed for modern data workflows, machine learning pipelines, and any task that benefits from a lightweight DAG-based execution engine. Unlike heavier platforms like Airflow, Pyper aims to remain lean, modular, and developer-friendly, embracing Pythonic conventions and minimizing boilerplate. It focuses on local development ergonomics and seamless transition to production environments, making it ideal for small teams and...
    Downloads: 0 This Week
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  • 20
    Arcane

    Arcane

    Modern Docker Management, Designed for Everyone

    ...It emphasizes usability and accessibility, making it less intimidating than traditional tools like Portainer while still powerful enough for real-world usage, including logs, metrics, and console access for individual containers. The project integrates frontend and backend components that work together to provide a cohesive environment management experience, often packaged to run alongside Docker and Docker Compose setups with minimal configuration.
    Downloads: 0 This Week
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  • 21
    ipychart

    ipychart

    The power of Chart.js with Python

    Create charts with Python in a very similar way to creating charts using Chart.js. The charts created are fully configurable, interactive, and modular and are displayed directly in the output of the cells of your jupyter notebook environment. Charts are fully interactive, you can hover it to display tooltips and select the information you want to see directly from the output cell of your notebook. All the types of charts present in Chart.js are exposed in ipychart. Even complex features such as mixed-types charts are available. Charts are highly customizable and all Chart.js options are available in ipychart. ...
    Downloads: 0 This Week
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  • 22
    JuliaWorkshop

    JuliaWorkshop

    Intensive Julia workshop that takes you from zero to hero

    This is an intensive workshop for the Julia language, composed out of three 2-hour segments. It targets people already familiar with programming, so that the established basics such as for-loops are skipped through quickly and efficiently. Nevertheless, it assumes only rudimentary programming familiarity and does explain concepts that go beyond the basics. The goal of the workshop is to take you from zero to hero (regarding Julia): even if you know nothing about Julia, by the end you should...
    Downloads: 0 This Week
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  • 23
    errsole.js

    errsole.js

    Collect, Store, and Visualize Logs with a Single Module

    Errsole is an open-source logger for Node.js. It has a built-in web dashboard to view, filter, and search your app logs.
    Downloads: 0 This Week
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  • 24
    Alova.js

    Alova.js

    Workflow-Streamlined next-generation request tools

    Extremely streamline API integration workflow. Quickly find APIs in the editor, and enjoy full type hints even in js projects with the API code automatically generated by Alova's extension. Request in various complex scenes by one line of code. Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying....
    Downloads: 0 This Week
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  • 25
    Covalent workflow

    Covalent workflow

    Pythonic tool for running machine-learning/high performance workflows

    Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. Covalent overcomes computational and operational challenges inherent...
    Downloads: 0 This Week
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