Open Source Python Software Development Software - Page 73

Python Software Development Software

View 6050 business solutions

Browse free open source Python Software Development Software and projects below. Use the toggles on the left to filter open source Python Software Development Software by OS, license, language, programming language, and project status.

  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • Go From AI Idea to AI App Fast Icon
    Go From AI Idea to AI App Fast

    One platform to build, fine-tune, and deploy ML models. No MLOps team required.

    Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
    Try Free
  • 1
    Neural Network Intelligence

    Neural Network Intelligence

    AutoML toolkit for automate machine learning lifecycle

    Neural Network Intelligence is an open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate feature engineering, neural architecture search, hyperparameter tuning and model compression. The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different training environments like Local Machine, Remote Servers, OpenPAI, Kubeflow, FrameworkController on K8S (AKS etc.) DLWorkspace (aka. DLTS) AML (Azure Machine Learning) and other cloud options. NNI provides CommandLine Tool as well as an user friendly WebUI to manage training experiements.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Neural Network Visualization

    Neural Network Visualization

    Project for processing neural networks and rendering to gain insights

    nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is great for customization and teaching purposes.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Neural Networks Collection

    Neural Networks Collection

    Neural Networks Collection

    This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Neural Tangents

    Neural Tangents

    Fast and Easy Infinite Neural Networks in Python

    Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels, perform exact GP inference, and study training dynamics analytically for infinitely wide networks. The library closely mirrors JAX’s stax API while extending it to return a kernel_fn alongside init_fn and apply_fn, enabling drop-in workflows for kernel computation. Kernel evaluation is highly optimized for speed and memory, and computations can be automatically distributed across accelerators with near-linear scaling.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • 5
    Neuro SAN Studio

    Neuro SAN Studio

    A playground for neuro-san

    Neuro SAN Studio is a development environment and playground for building, testing, and deploying multi-agent AI systems using the Neuro SAN framework. It provides a hands-on interface where users can design agent networks, run experiments, and observe how multiple agents collaborate to solve complex tasks. The platform is built around a data-driven approach, where entire agent systems can be defined using configuration files rather than extensive code, making it accessible to both developers and domain experts. It supports advanced orchestration through decentralized communication protocols, allowing agents to dynamically delegate tasks and adapt to changing requirements. The system also includes mechanisms for secure data handling, ensuring sensitive information is not exposed directly to language models. Neuro SAN Studio offers built-in examples, tutorials, and debugging tools, which help users quickly prototype and refine multi-agent workflows.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    Nevergrad

    Nevergrad

    A Python toolbox for performing gradient-free optimization

    Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and then experiment with multiple strategies—evolutionary algorithms, Bayesian optimization, bandit methods, genetic algorithms, etc. Nevergrad supports parallelization, budget scheduling, and multiple cost/resource constraints, allowing it to scale to nontrivial optimization problems. It includes visualization tools and diagnostic metrics to compare strategy performance, track parameter evolution, and detect stagnation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    NiL is a modular multi-purpose gaming engine including a multiplayer worm game a little like quake, except it's 2d and a little like worms except it's realtime.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    Nick's Python Toolchest

    Nick's Python Toolchest

    A heterogeneous bunch of useful Python stuff

    Nxpy is a Python library that combines general purpose features with a set of tools more geared towards build automation and source code management. It provides convenient ways to invoke and control interactive and non-interactive commands, context aware backup for files you need to modify, convenience stubs for file like objects, and more. It also contains wrappers for ClearCase, Maven and Subversion, as well as tools to manipulate Maven and Visual Studio configuration files.
    Downloads: 0 This Week
    Last Update:
    See Project
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 10
    NickelsWebtranslator is a simple web-based application for internationalization of java-based projects. Properties files can easily be translated by a remote and widespread group of translaters (utf8-encoding). Python web application with mysql backend.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Nimporter

    Nimporter

    Compile Nim Extensions for Python On Import

    Nimporter allows the seamless import of Nim code into Python projects, enabling the use of Nim's performance and syntax within Python applications.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12
    "No comment!" is a command-line tool that generates various comment-related metrics for source code files (e. g. comment density, blank lines per file)
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    Graphical debugger for programs that don't just follow one stream (e.g. threaded, web applications). Also allows debugging in headless computers, in distributed environments and for crashing applications.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    NoneBot

    NoneBot

    Asynchronous multi-platform robot framework written in Python

    Use NB-CLI to quickly build your own robot. Plug-in development, modular management. Supports multiple platforms and multiple incident response methods. Asynchronous priority development to improve operational efficiency. Simple and clear dependency injection system, built-in dependency functions reduce user code. NoneBot2 is a modern, cross-platform, and extensible Python chatbot framework. It is based on Python's type annotations and asynchronous features, and can provide convenient and flexible support for your needs. NoneBot2 is written based on Python asyncio , and has a certain degree of synchronous function compatibility based on the asynchronous mechanism. NoneBot2 provides an easy-to-use, interactive command-line tool -- nb-cli, making it easier to get started with NoneBot2 for the first time. The plug-in system is the core of NoneBot2, through which the modularization and function expansion of the robot can be realized, which is convenient for maintenance and management.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    Nose plugin to create XUnit like XML test results
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    This python script will generate a custom python.xml file used by Notepad++ for auto-completion features when programming in python (function names, arguments, and descriptions), using your own set of imported modules.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    A graphical, hierarchical note-taking application, using reStructuredText, python and PyQt.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    NovaX is a set of programs that is being devloped for small company's and beginners in the fields of HTML and programming. Coded in Python and C++, this is also a good replacement for MS Office. NOTE: This requires Python to be on your PC. ( Python.org )
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    Numba

    Numba

    NumPy aware dynamic Python compiler using LLVM

    Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. Numba generates specialized code for different array data types and layouts to optimize performance. Special decorators can create universal functions that broadcast over NumPy arrays just like NumPy functions do. Numba also works great with Jupyter notebooks for interactive computing, and with distributed execution frameworks, like Dask and Spark.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    Linux Multimedia Framework using CORBA. Implementation mainly in C++ and Python.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21
    interface for storing objects to relational database (mySQL at the moment); written in python; nice to use with zope application server to store the content of web-forms in a generic way
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    ODic stands for "Options Dictionary" and aims at creating standards for easier command line tool creation. At the moment it is focused on the 'odic' python module including new design patterns for python main functions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 23
    Object-oriented persistent storage library for python. Merges database design and application design (as both are deeply linked).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 24
    An open-source cross-platform compiler for the Savage Innovations OOPic microcontroller.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 25
    OOpyREP is a python code generating filter and library. It reads a OpenOffice.org file and creates a python representation of the document structure as well as contents. The generated code uses the reportlab PDF library to render the document.
    Downloads: 0 This Week
    Last Update:
    See Project
MongoDB Logo MongoDB