Showing 2582 open source projects for "no code"

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  • 1
    I hate money

    I hate money

    A simple shared budget manager web application

    ...I hate money is written in python, using the flask framework. It’s developed with ease of use in mind and is trying to keep things simple. Hope you (will) like it! The code is distributed under a BSD beerware derivative: if you meet the people in person and you want to pay them a craft beer, you are highly encouraged to do so.
    Downloads: 7 This Week
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  • 2
    Kaggle Solutions

    Kaggle Solutions

    Collection of Kaggle Solutions and Ideas

    Kaggle Solutions is an open-source repository that compiles winning solutions, insights, and educational resources from hundreds of Kaggle data science competitions. The repository acts as a knowledge base for competitive machine learning by collecting solution write-ups, discussion threads, code notebooks, and tutorial resources shared by top Kaggle participants. Each competition entry typically includes information about the dataset, evaluation metrics, modeling strategies, and techniques used by high-ranking competitors. The repository also highlights important machine learning concepts such as feature engineering, cross-validation strategies, ensemble modeling, and post-processing methods commonly used in winning solutions. ...
    Downloads: 2 This Week
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  • 3
    City Map Poster Generator

    City Map Poster Generator

    Transform your favorite cities into beautiful, minimalist designs

    maptoposter is a code-driven poster generator that turns any city into a minimalist, print-style map artwork with consistent typography and themed color palettes. It is built around a simple command-line flow where you pass a city and country, and the tool fetches the relevant map geometry and renders it into a clean composition that looks like a design product rather than a raw GIS export.
    Downloads: 2 This Week
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  • 4
    minted

    minted

    minted is a LaTeX package that provides syntax highlighting

    minted is a LaTeX package that enables advanced syntax highlighting of source code using the Pygments library. It supports customization via LaTeX and Python integration, allowing fine-grained control over code snippets in documents.
    Downloads: 0 This Week
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  • 5
    MiniSom

    MiniSom

    MiniSom is a minimalistic implementation of the Self Organizing Maps

    ...Minisom is designed to allow researchers to easily build on top of it and to give students the ability to quickly grasp its details. The project initially aimed for a minimalistic implementation of the Self-Organizing Map (SOM) algorithm, focusing on simplicity in features, dependencies, and code style. Although it has expanded in terms of features, it remains minimalistic by relying only on the numpy library and emphasizing vectorization in coding style.
    Downloads: 6 This Week
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  • 6
    Papermerge

    Papermerge

    Open Source Document Management System for Digital Archives

    ...Instantly find relevant information using full text, tags and metadata-based search. Papermerge is free and open-source software which means that transparency is the core value of our software development. Source code can be reviewed and improved by anyone from anywhere. Papermerge supports multiple users. Each user can be assigned different permissions to perform only a specific kind of action e.g. view only documents from a specific folder. OCR technology is vital part of Papermerge. It extracts text information from scanned documents, PDF, JPEG, TIFF files.
    Downloads: 21 This Week
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  • 7
    Avalanche

    Avalanche

    End-to-End Library for Continual Learning based on PyTorch

    Avalanche is an end-to-end Continual Learning library based on Pytorch, born within ContinualAI with the unique goal of providing a shared and collaborative open-source (MIT licensed) codebase for fast prototyping, training and reproducible evaluation of continual learning algorithms. Avalanche can help Continual Learning researchers in several ways. This module maintains a uniform API for data handling: mostly generating a stream of data from one or more datasets. It contains all the major...
    Downloads: 2 This Week
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  • 8
    Think Bayes 2

    Think Bayes 2

    Text and code for the second edition of Think Bayes, by Allen Downey

    ...The lessons cover probability distributions, Bayesian updating, estimation, prediction, comparison, and decision-making. Notebooks can run in Google Colab or be downloaded for local use. The repository also contains book sources, supporting code, and environment files for reproducible study.
    Downloads: 1 This Week
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  • 9
    MedgeClaw

    MedgeClaw

    Open-source AI research assistant for biomedicine

    ...It includes a real-time dashboard that displays progress, generated code, and outputs, providing transparency throughout the research process. MedgeClaw also supports reproducibility by generating structured reports and maintaining consistent environments through containerization. Its architecture combines conversational AI, automated pipelines, and scientific tooling into a unified workflow.
    Downloads: 1 This Week
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  • 10
    BioEmu

    BioEmu

    Inference code for scalable emulation of protein equilibrium ensembles

    Biomolecular Emulator (BioEmu for short) is a model that samples from the approximated equilibrium distribution of structures for a protein monomer, given its amino acid sequence. By default, unphysical structures (steric clashes or chain discontinuities) will be filtered out, so you will typically get fewer samples in the output than requested. The difference can be very large if your protein has large disordered regions, which are very likely to produce clashes. BioEmu outputs structures...
    Downloads: 1 This Week
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  • 11
    LinkChecker

    LinkChecker

    Check links in web documents or full websites

    ...LinkChecker checks links in web documents or full websites. It runs on Python 3 systems, requiring Python 3.8 or later. The version in the pip repository may be old, to find out how to get the latest code, plus platform-specific information and other advice see doc/install.txt in the source code archive. If you do not want to install any additional libraries/dependencies you can use the Docker image which is published on GitHub Packages.
    Downloads: 1 This Week
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  • 12
    Thinc

    Thinc

    A refreshing functional take on deep learning

    ...Develop faster and catch bugs sooner with sophisticated type checking. Trying to pass a 1-dimensional array into a model that expects two dimensions? That’s a type error. Your editor can pick it up as the code leaves your fingers.
    Downloads: 14 This Week
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  • 13
    Data Contract CLI

    Data Contract CLI

    Enforce Data Contracts

    ...It supports both the Data Contract Specification and the Open Data Contract Standard, making it useful for teams standardizing data governance across different platforms. It can run locally, inside CI/CD pipelines, through Docker, or directly from Python code. Overall, it helps data producers and consumers treat data products more like APIs, with explicit expectations, automated checks, and clearer accountability.
    Downloads: 10 This Week
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  • 14
    notebooklm-py

    notebooklm-py

    Unofficial Python API and agentic skill for Google NotebookLM

    notebooklm-py is an unofficial Python API and agent-ready integration layer for Google NotebookLM that exposes NotebookLM functionality through code, the command line, and AI agent workflows. Its goal is to provide programmatic access not just to standard notebook operations, but also to many capabilities that are either limited or unavailable in the web interface, making it especially useful for automation and custom pipelines. The project covers notebook management, source ingestion, conversational querying, research workflows, and sharing controls, while also enabling the generation of a wide range of study and media artifacts. ...
    Downloads: 10 This Week
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  • 15
    QuantDinger

    QuantDinger

    AI-driven, local-first quantitative trading platform for research

    ...QuantDinger also incorporates optional AI features via external APIs, assisting in tasks like strategy ideation or interpreting market indicators, but strategy logic remains inspectable and transparent in code.
    Downloads: 10 This Week
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  • 16
    CLI-Anything

    CLI-Anything

    Making ALL Software Agent-Native

    ...The system provides a methodology and tooling for generating CLI wrappers around existing applications, allowing them to be controlled programmatically using natural language instructions interpreted by AI agents. It integrates with multiple AI platforms such as Claude Code, OpenClaw, Codex, and GitHub Copilot CLI, enabling cross-platform compatibility and flexibility. CLI-Anything emphasizes structured outputs such as JSON to reduce parsing complexity and improve reliability in automation scenarios.
    Downloads: 8 This Week
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  • 17
    ShellGPT

    ShellGPT

    A command-line productivity tool powered by AI large language models

    A command-line productivity tool powered by AI large language models (LLM). This command-line tool offers a streamlined generation of shell commands, code snippets, and documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, and Windows and is compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc. By default, ShellGPT uses OpenAI's API and GPT-4 model. You'll need an API key, you can generate one here. You will be prompted for your key which will then be stored in ~/.config/shell_gpt/.sgptrc. ...
    Downloads: 8 This Week
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  • 18
    smolagents

    smolagents

    Agents write python code to call tools and orchestrate other agents

    This library is the simplest framework out there to build powerful agents. We provide our definition in this page, where you’ll also find tips for when to use them or not (spoilers: you’ll often be better off without agents). smolagents is a lightweight framework for building AI agents using large language models (LLMs). It simplifies the development of AI-driven applications by providing tools to create, train, and deploy language model-based agents.
    Downloads: 7 This Week
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  • 19
    AGiXT

    AGiXT

    AGiXT is a dynamic AI Automation Platform

    ...By leveraging a powerful plugin system that includes web browsing and command execution, AGiXT stands as a versatile bridge between AI models and users. With an expanding roster of AI providers, code evaluation capabilities, comprehensive chain management, and platform interoperability, AGiXT is consistently evolving to drive a multitude of applications, affirming its place at the forefront of AI technology.
    Downloads: 7 This Week
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  • 20
    Jinja

    Jinja

    Ultra fast and expressive template engine

    Jinja is a fast, full-featured and expressive template engine for Python. It offers full unicode support, a sandboxed environment for safe executions, and so much more. Jinja is among the most widely used template engines for Python, and for good reason. It is both beautiful and powerful, and makes a template designer’s job a lot easier. Jinja is inspired by Django's templating system, but steps it up with an expressive language that results in more powerful tools, plus an automatic HTML...
    Downloads: 7 This Week
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  • 21
    Dagger

    Dagger

    Containerized automation engine for programmable CI/CD workflows

    Dagger is an open source automation engine designed to build, test, and deliver software in a consistent and programmable way. It enables developers to define software delivery workflows using code instead of complex shell scripts or configuration files. Dagger executes tasks inside containers, ensuring that automation runs in identical environments across local machines, CI servers, or cloud infrastructure. Dagger provides a core execution engine and system API that orchestrates containers, filesystems, secrets, repositories, and other resources needed during development pipelines. ...
    Downloads: 11 This Week
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  • 22
    VisiData

    VisiData

    A terminal spreadsheet multitool for discovering and arranging data

    ...VisiData supports tsv, CSV, SQLite, JSON, xlsx (Excel), hdf5, and many other formats. Requires Linux, OS/X, or Windows (with WSL). Hundreds of other commands and options are also available; see the documentation. Code in the stable branch of this repository, including the main vd application, loaders, and plugins, is available for use and redistribution under GPLv3. VisiData is a free, open-source tool that lets you quickly open, explore, summarize, and analyze datasets in your computer’s terminal. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.
    Downloads: 9 This Week
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  • 23
    The Hundred-Page Machine Learning Book

    The Hundred-Page Machine Learning Book

    The Python code to reproduce illustrations from Machine Learning Book

    ...The repository complements these explanations by offering practical implementations that demonstrate how various algorithms behave when applied to data. Readers can explore the scripts to reproduce diagrams and observe how mathematical concepts translate into working code.
    Downloads: 3 This Week
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  • 24
    Google Cloud Platform Python Samples

    Google Cloud Platform Python Samples

    Code samples used on cloud.google

    Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools.
    Downloads: 0 This Week
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  • 25
    Qodo Cover

    Qodo Cover

    AI tool that generates tests to improve code coverage quickly

    Qodo Cover is an open source developer tool designed to automate the creation of unit tests using generative AI, helping teams improve code coverage with minimal manual effort. It operates as a command-line interface and can also be integrated into continuous integration workflows, making it adaptable to different development environments. It analyzes an existing codebase, identifies gaps in test coverage, and generates new tests that target uncovered or weakly tested areas.
    Downloads: 0 This Week
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