Showing 407 open source projects for "types"

View related business solutions
  • 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
  • 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
  • 1
    Panda-Helper

    Panda-Helper

    Panda-Helper: Data profiling utility for Pandas DataFrames and Series

    Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    OWASP Maryam

    OWASP Maryam

    Modular OSINT framework for automated open-source intelligence gatheri

    Maryam is an open source intelligence (OSINT) framework designed to automate the process of gathering and analyzing publicly available information from the internet. It provides a modular environment that enables users to collect data from search engines, open data sources, and various online services for reconnaissance and investigative purposes. Written in Python, Maryam is built to provide a flexible and extensible framework for harvesting information quickly and efficiently from open...
    Downloads: 4 This Week
    Last Update:
    See Project
  • 3
    UCO3D

    UCO3D

    Uncommon Objects in 3D dataset

    uCO3D is a large-scale 3D vision dataset and toolkit centered on turn-table videos of everyday objects drawn from the LVIS taxonomy. It provides about 170,000 full videos per object instance rather than still frames, along with per-video annotations including object masks, calibrated camera poses, and multiple flavors of point clouds. Each sequence also ships with a precomputed 3D Gaussian Splat reconstruction, enabling fast, differentiable rendering workflows and modern implicit/point-based...
    Downloads: 4 This Week
    Last Update:
    See Project
  • 4
    Gradio

    Gradio

    Create UIs for your machine learning model in Python in 3 minutes

    ...Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that lets them interact with the model on your computer remotely from their own devices. Once you've created an interface, you can permanently host it on Hugging Face. ...
    Downloads: 5 This Week
    Last Update:
    See Project
  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
    Try it Free
  • 5
    NVIDIA Model Optimizer

    NVIDIA Model Optimizer

    A unified library of SOTA model optimization techniques

    ...The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying large models in production environments. It supports a wide range of model types, including large language models, diffusion models, and vision-language models, and integrates with deployment frameworks such as TensorRT and vLLM. By providing standardized workflows and APIs, it enables developers to experiment with different optimization strategies and select the best approach for their use case.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 6
    The Hypersim Dataset

    The Hypersim Dataset

    Photorealistic Synthetic Dataset for Holistic Indoor Scene

    ...It provides richly annotated renderings—RGB, depth, surface normals, instance and semantic segmentations, and material/lighting metadata—produced from high-fidelity virtual environments. The dataset spans diverse furniture layouts, room types, and camera trajectories, enabling robust training for geometry, segmentation, and SLAM-adjacent tasks. Rendering pipelines and utilities allow researchers to reproduce sequences, generate novel views, or extract task-specific supervision. Because the data are perfectly labeled and controllable, Hypersim is well suited for pretraining and for studying domain transfer to real imagery. ...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 7
    Qwen-Image

    Qwen-Image

    Qwen-Image is a powerful image generation foundation model

    Qwen-Image is a powerful 20-billion parameter foundation model designed for advanced image generation and precise editing, with a particular strength in complex text rendering across diverse languages, especially Chinese. Built on the MMDiT architecture, it achieves remarkable fidelity in integrating text seamlessly into images while preserving typographic details and layout coherence. The model excels not only in text rendering but also in a wide range of artistic styles, including...
    Downloads: 7 This Week
    Last Update:
    See Project
  • 8
    Shapash

    Shapash

    Explainability and Interpretability to Develop Reliable ML models

    Shapash is a Python library dedicated to the interpretability of Data Science models. It provides several types of visualization that display explicit labels that everyone can understand. Data Scientists can more easily understand their models, share their results and easily document their projects in an HTML report. End users can understand the suggestion proposed by a model using a summary of the most influential criteria.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    harmonypy

    harmonypy

    Integrate multiple high-dimensional datasets with fuzzy k-means

    Harmony is an algorithm for integrating multiple high-dimensional datasets. harmonypy is a port of the harmony R package by Ilya Korsunsky. Harmony is a general-purpose R package with an efficient algorithm for integrating multiple data sets. It is especially useful for large single-cell datasets such as single-cell RNA-seq.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Stop vibe-debugging. Icon
    Stop vibe-debugging.

    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
    Free 30 days.
  • 10
    douyin

    douyin

    Open source Douyin crawler for collecting and downloading public data

    ...It demonstrates how to build a Python-based web crawler combined with a graphical interface and command line functionality. It allows users to collect data from various types of Douyin content, including user profiles, videos, hashtags, and music pages. DouyinCrawler supports both automated scraping and batch operations to process multiple targets efficiently. It also integrates with the Aria2 download utility to enable large-scale downloading of videos and images associated with collected content. It includes multiple usage modes such as a desktop GUI, a web service interface, and a command line tool for flexible deployment. ...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 11
    Local File Organizer

    Local File Organizer

    An AI-powered file management tool that ensures privacy

    ...The project focuses on privacy-first file organization by performing all processing locally rather than sending data to external cloud services. It uses language and vision models to understand the contents of documents, images, and other file types so that files can be grouped intelligently according to their meaning or context. The system scans directories, extracts relevant information from files, and restructures folder hierarchies to make content easier to locate and manage. Through AI-driven analysis, the software can detect themes, topics, and metadata in files, allowing it to organize information in ways that traditional rule-based file managers cannot achieve. ...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 12
    Groq Python

    Groq Python

    The official Python Library for the Groq API

    ...Through this library, you can call Groq’s models from Python code — for example to request chat completions, code generation, transcription, or any supported endpoint — using idiomatic Python syntax. The SDK handles authentication (via environment variable or parameter), defines proper type-safe request/response data types, and supports both synchronous and asynchronous usage patterns depending on your application needs. This makes it easy to integrate Groq-powered AI capabilities into backend services, data pipelines, research notebooks, or applications written in Python. For those building AI-based tooling, automation scripts, or ML-backed backends, groq-python abstracts away HTTP request plumbing and exposes a clean API, accelerating development and reducing boilerplate.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 13
    FinalRecon

    FinalRecon

    All-in-one Python web reconnaissance tool for fast target analysis

    FinalRecon is an all-in-one web reconnaissance tool written in Python that helps security professionals gather information about a target website quickly and efficiently. It combines multiple reconnaissance techniques into a single command-line utility so users do not need to run several separate tools to collect similar data. FinalRecon focuses on providing a fast overview of a web target while maintaining accuracy in the collected results. It includes modules for gathering server...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 14
    Unstract

    Unstract

    No-code LLM Platform to launch APIs and ETL Pipelines

    ...Unstract supports deploying structured extraction as REST API endpoints or embedding it into data engineering ETL pipelines, which allows it to plug directly into data warehouses, cloud storage, or downstream analytics systems. Its platform works with a broad variety of file types — from PDFs and spreadsheets to images — and includes integrations with databases, cloud storage providers, and vector databases.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 15
    TensorFlow Model Garden

    TensorFlow Model Garden

    Models and examples built with TensorFlow

    ...A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU).
    Downloads: 2 This Week
    Last Update:
    See Project
  • 16
    video2robot

    video2robot

    End-to-end pipeline converting generative videos

    video2robot is an end-to-end open-source pipeline that converts generative video or prompt-driven motion content into executable humanoid robot motion sequences, enabling researchers and developers to go from high-level action descriptions or videos to robot-ready motion data. The pipeline supports both prompt-to-video generation using models like Veo/Sora and video upload processing, followed by human pose extraction through a 3D pose model and retargeting of that motion to robot joints...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 17
    DataProfiler

    DataProfiler

    Extract schema, statistics and entities from datasets

    DataProfiler is an AI-powered tool for automatic data analysis and profiling, designed to detect patterns, anomalies, and schema inconsistencies in structured and unstructured datasets. The DataProfiler is a Python library designed to make data analysis, monitoring, and sensitive data detection easy. Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities (PII / NPI), and...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    Adversarial Robustness Toolbox

    Adversarial Robustness Toolbox

    Adversarial Robustness Toolbox (ART) - Python Library for ML security

    ...ART provides tools that enable developers and researchers to evaluate, defend, certify and verify Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, sci-kit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, generation, certification, etc.).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19
    FAY

    FAY

    Framework for building AI-powered interactive digital humans and agent

    Fay is an open source framework designed to build and deploy interactive digital humans powered by large language models. It acts as a middleware layer that connects digital character technologies with conversational AI systems and business applications. Fay supports various types of digital humans, including 2.5D and 3D avatars, and can be integrated with applications running on mobile devices, PCs, web platforms, and embedded systems. Its architecture allows developers to combine different AI components such as speech recognition, text-to-speech, and large language models to create conversational digital agents. ...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 20
    Triton Inference Server

    Triton Inference Server

    The Triton Inference Server provides an optimized cloud

    ...Triton supports inference across cloud, data center, edge, and embedded devices on NVIDIA GPUs, x86 and ARM CPU, or AWS Inferentia. Triton delivers optimized performance for many query types, including real-time, batched, ensembles, and audio/video streaming. Provides Backend API that allows adding custom backends and pre/post-processing operations. Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. A C API and Java API allow Triton to link directly into your application for edge and other in-process use cases.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 21
    Remarshal

    Remarshal

    Convert between CBOR, JSON, MessagePack, TOML, and YAML

    Convert between CBOR, JSON, MessagePack, TOML, and YAML. When installed, provides the command-line command remarshal as well as the short commands {cbor,json,msgpack,toml,yaml}2{cbor,json,msgpack,toml,yaml}. You can perform format conversion, reformatting, and error detection using these commands. CBOR, MessagePack, and YAML with binary fields cannot be converted to JSON or TOML. Binary fields are converted between CBOR, MessagePack, and YAML.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    Nexent

    Nexent

    Zero-code platform for building AI agents from natural language input

    Nexent is an open source platform designed to enable users to create intelligent agents using natural language instead of traditional programming or visual orchestration tools. It focuses on a zero-code approach, allowing users to define workflows and agent behavior purely through language prompts, significantly lowering the barrier to entry for AI development. Built on the MCP ecosystem, Nexent integrates a wide range of tools, models, and data sources into a unified environment for agent...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 23
    Paperless-AI

    Paperless-AI

    AI-powered document analysis and tagging for Paperless-ngx

    Paperless-AI is an AI-powered extension designed to enhance document management within Paperless-ngx by automating analysis, classification, and organization tasks. It continuously monitors incoming documents and processes them using various AI backends, enabling automatic assignment of titles, tags, document types, and correspondents. It integrates with multiple OpenAI-compatible services as well as local models, giving users flexibility in how document intelligence is handled. A key capability is its use of retrieval-augmented generation, which enables semantic search and natural language interaction across an entire document archive. Users can ask contextual questions about their files and receive precise answers based on full document understanding rather than simple keyword matching. ...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 24
    LLMStack

    LLMStack

    No-code multi-agent framework to build LLM Agents, workflows

    LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes. Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder. Trigger your AI chains from Slack or Discord. Deploy to the cloud or on-premise.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 25
    Pycorrector

    Pycorrector

    Pycorrector is a toolkit for text error correction

    Pycorrector is a Python toolkit for Chinese text error correction. It focuses on common error types such as similar-sounding characters, visually similar characters, grammar issues, proper noun errors, missing words, extra words, wrong words, and word-order problems. The project implements multiple correction approaches, including KenLM, ConvSeq2Seq, BERT, MacBERT, ELECTRA, ERNIE, GPT-style models, and newer Qwen-based correction models.
    Downloads: 0 This Week
    Last Update:
    See Project
Auth0 Logo