30 open-source projects similar to astropy/astropy, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Astropy alternative.
Numba is a just-in-time compiler that translates high-level Python functions into optimized machine code at runtime. By leveraging the LLVM compiler infrastructure, it provides a framework for accelerating numerical data processing and mathematical computations, enabling performance levels comparable to statically compiled languages. The project distinguishes itself through its ability to perform type-inference-based specialization, which generates machine instructions tailored to the specific data types used during execution. It employs a lazy compilation pipeline that defers translation unt
Mesa is a Python framework for agent-based modeling and complex systems simulation. It provides a toolkit for creating simulations where autonomous agents interact within a shared environment to observe emergent global behaviors. The project includes a browser-based interface for real-time visualization of simulation states and agent interactions. It also functions as a data analysis library for recording and processing metrics from model runs to quantify system behavior. The framework supports multiple environmental topologies, including grid-based spatial mapping and network-graph topologi
NetworkX is a Python library designed for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. It provides a comprehensive framework for modeling relationships between entities as graphs, directed graphs, or multigraphs, allowing users to attach arbitrary metadata and properties to nodes and edges. The library distinguishes itself through a modular architecture that decouples graph analysis logic from data storage, utilizing nested dictionaries and adjacency lists to manage topology. It features a pluggable backend system that delegates computat
Biopython is a bioinformatics library for Python providing tools to parse, manipulate, and analyze biological sequences, molecular structures, and phylogenetic trees. It serves as a biological sequence parser for genomic and proteomic data across multiple industry-standard file formats and acts as an interface for querying biological data and citations from NCBI Entrez repositories. The project distinguishes itself through specialized toolkits for protein structure analysis and phylogenetic tree construction. It includes a protein structure analyzer for processing PDB and mmCIF files to calcu
The official sources for the RDKit library
A Python native dynamical system simulation framework in the block diagram paradigm.
PythonRobotics is a comprehensive collection of modular robotics algorithms and educational simulations designed for autonomous navigation, state estimation, and motion control. The project provides a library of standalone implementations for path planning, localization, mapping, and kinematics, serving as a resource for researchers and students to experiment with foundational and advanced robotic theories. The project distinguishes itself through an algorithm-centric design where each module functions as an isolated script, allowing for independent testing and clear pedagogical demonstration
SciPy is a scientific computing library for Python that provides a comprehensive collection of mathematical algorithms and numerical tools for research and engineering. It functions as a high-performance numerical analysis framework, bridging high-level Python code with compiled C and Fortran routines to execute complex computations at hardware speeds. The library is built upon array-based data structures that utilize strided memory layouts to enable efficient data manipulation and slicing. By employing vectorized operation dispatch and linking to optimized hardware-specific linear algebra li
Parsers and algorithms for computational chemistry logfiles
PyMC is a Bayesian probabilistic programming framework used for building probabilistic models and performing Bayesian inference. It provides a probabilistic graphical model library for specifying random variables, priors, and likelihood functions, supported by an MCMC sampling engine and variational inference tools to estimate posterior distributions. The framework features a GPU-accelerated inference backend that compiles models into machine code to increase execution speed. It utilizes a backend-agnostic tensor execution model and just-in-time graph compilation to optimize the computation o
Statsmodels is a comprehensive Python library designed for statistical modeling, econometric research, and data analysis. It provides a robust framework for estimating and diagnosing a wide range of statistical models, enabling users to perform rigorous hypothesis testing, regression analysis, and complex data exploration within structured environments. The library distinguishes itself through its support for advanced statistical methodologies, including state space representation for dynamic systems and generalized linear frameworks that accommodate non-normal response variables. It offers s
Shapely is a library for the manipulation and analysis of planar geometric objects, serving as a Python wrapper for the GEOS C++ engine. It provides a framework for calculating geometric properties, evaluating spatial relationships, and performing topological predicates within a Cartesian plane. The project distinguishes itself through a vectorized geometry processor capable of executing spatial operations across large arrays of shapes to increase throughput. It also includes a spatial indexing system based on R-trees to accelerate the retrieval of intersecting geometries and nearest neighbor
SymPy is a Python computer algebra system and symbolic mathematics library. It performs algebraic manipulations, calculus, and equation solving using symbolic representations to achieve exact computations rather than numerical approximations. The library includes a LaTeX expression parser that converts mathematical strings into symbolic representations for computation and formula manipulation. It also incorporates a mathematical benchmarking suite to measure execution speed and detect performance regressions across different software versions. The system provides capabilities for automated m
Manim is a scriptable, code-driven framework designed for generating precise technical visualizations and mathematical animations. By using a high-level programming interface, it allows users to define geometric shapes, motion paths, and animation logic that are compiled into high-quality video assets. The system functions as a specialized engine for creating reproducible, data-driven representations of complex mathematical concepts and geometric transformations. The framework distinguishes itself through an interpolation-based engine that calculates intermediate states between keyframes to e
Colour Science for Python
ObsPy: A Python Toolbox for seismology/seismological observatories.
NumPy is a foundational library for scientific computing in Python, providing a comprehensive framework for managing and manipulating large-scale numerical information. It centers on high-performance multidimensional array objects that serve as the primary data structure for complex mathematical operations and data analysis workflows. The library distinguishes itself through specialized mechanisms for handling multidimensional data, including advanced indexing, slicing, and broadcasting techniques that allow for efficient operations across arrays of varying shapes. It utilizes strided metadat
Stellarium is an open-source 3D planetarium simulator and cross-platform sky map used for astronomical observation and study. It provides a real-time simulation of the night sky that renders astronomical objects and atmospheric conditions using OpenGL. The software functions as a visualization tool to show how stars and planets appear through optical instruments. It allows users to identify celestial objects from any location on Earth, simulate stargazing site visibility, and plan targets for observation with binoculars or telescopes. The system incorporates an atmospheric scattering model,
Ant is a modular game engine framework designed for building interactive 3D experiences. It provides a core runtime infrastructure that supports the integration of independent, reusable functional packages to extend engine capabilities. The engine features a specialized ahead-of-time asset pipeline that transforms raw 3D models, textures, and shaders into optimized binary formats. By utilizing pre-computed memory-mapped layouts, the system minimizes runtime processing overhead and improves loading speeds for game assets. Development is supported by a scriptable world editor that allows for s
This project provides a standardized project directory structure and boilerplate templates for organizing data analysis and machine learning workflows. It serves as a reproducible analysis framework and workspace boilerplate designed to ensure consistency across data science projects. The template distinguishes between exploratory research in notebooks and reusable, testable logic in modular Python packages. It enforces a convention-based directory hierarchy that treats the analysis pipeline as a directed acyclic graph by separating raw, interim, and processed data. The framework covers a br
This project is a curated educational guide and instructional resource for the Node.js runtime environment. It serves as a comprehensive introduction to core concepts, including asynchronous programming tutorials, network application primers, and guides on the module system and stream API. The material focuses on the fundamental building blocks of server-side development, specifically how to create reusable code packages and manage project dependencies via a module manifest. It provides detailed instruction on building programs that communicate over HTTP and TCP protocols to exchange data acr
This project is a suite of software for radio interferometry imaging, specialized in the processing, analysis, and reconstruction of Very Long Baseline Interferometry (VLBI) observations. It provides tools for reconstructing images from interferometry data using regularized maximum likelihood methods and managing the end-to-end data processing pipeline from raw visibilities to final images. The software distinguishes itself with a dedicated interstellar scattering simulator that models thin-screen scattering effects and applies scattering kernels to radio images. It also features a radio imag
This project is a modular, open-source customer relationship management platform built on the Laravel framework. It serves as a comprehensive business application framework designed for tracking sales pipelines, managing business entities, and automating marketing workflows. By providing a self-hosted solution, it enables organizations to maintain full control over their contact data, sales leads, and communication history. The platform distinguishes itself through a highly extensible architecture that allows developers to modify core behavior without altering the underlying source code. It u
The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
This project is an educational resource providing practical code examples and implementations of machine learning algorithms using the Python language. It serves as a guide for constructing predictive pipelines, clustering models, and dimensionality reduction within the Scikit-Learn ecosystem. The repository includes comprehensive demonstrations for supervised and unsupervised learning, as well as detailed examples for implementing neural networks and deep architectures. It also provides practical guidance on exporting model parameters to JSON and wrapping trained models in web APIs for produ
This project is a cross-compilation build system and software repository for the OpenWrt operating system. It provides a curated collection of community-maintained software packages, build scripts, and application definitions used to compile third-party libraries and utilities for specific target hardware architectures. The system functions as an embedded Linux software feed, utilizing a cross-compilation workflow to convert external source code into compatible binaries. It includes a distribution of network tools, such as DNS servers and VPNs, tailored for router-based environments and resou
Lede is an embedded Linux build tool and firmware build system designed to generate bootable operating system images for routers and embedded network devices. It functions as a network device OS compiler that manages toolchains and target architectures to produce customizable firmware. The system enables the creation of custom router operating systems by integrating external package feeds from remote Git repositories. This allows for the expansion of available software packages and the tailoring of network appliance features during the build process. The build environment covers toolchain-ba
Aimeos is a professional PHP e-commerce framework designed for building online shops and marketplaces. It functions as a modular e-commerce engine that provides a dedicated administration dashboard for managing product data and orders, alongside a headless commerce API using REST and GraphQL interfaces for custom storefronts. The platform is distinguished by its multi-vendor marketplace system, which coordinates multiple sellers, channels, and warehouses. It employs a modular architecture and an interface-based extension pattern, allowing the injection of custom business logic through distrib