Search Results for "integration"
Sort By:
Showing 63 open source projects for "integration"
View related business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
-
1
PDFMathTranslate
PDF scientific paper translation with preserved formats
PDFMathTranslate is a Python-based tool that uses AI translation to convert academic PDFs into bilingual (e.g. Chinese-English) documents while preserving formatting, including math notation. It supports OCR-enhanced content and offers CLI, GUI, Docker, and Zotero integration under AGPL v3. -
2
SciPy
SciPy library main repository
This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. ... -
3
Newton
An open-source, GPU-accelerated physics simulation engine
Newton is a high-performance, GPU-accelerated physics simulation engine designed primarily for robotics research, machine learning, and advanced simulation workflows. Built on top of NVIDIA Warp, it leverages GPU parallelism to deliver scalable and efficient simulation environments that support rapid iteration and experimentation. The engine extends previous simulation frameworks by introducing differentiable physics capabilities, allowing it to integrate seamlessly with machine learning... -
4
MuJoCo
Multi-Joint dynamics with Contact. A general purpose physics simulator
...The platform includes built-in interactive visualization using OpenGL and a native graphical interface for analyzing and testing simulations. Additionally, it offers extensive utility functions for physics computation, Python bindings for developers, and a Unity plug-in to enable integration with game engines and visualization tools. -
MongoDB Atlas runs apps anywhereMongoDB 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.
-
5
ChemCrow
Chemcrow
ChemCrow is an AI-powered framework designed to assist in chemical research and discovery. It integrates AI models with chemical knowledge bases to provide intelligent recommendations for synthesis planning, reaction prediction, and material discovery. This tool helps automate and accelerate research in computational chemistry and drug development. -
6
Get Physics Done (GPD)
The first open-source agentic AI physicist
Get Physics Done (GPD) is an open-source project designed to accelerate scientific research in physics by leveraging modern computational tools and automation techniques. It aims to simplify the process of performing simulations, calculations, and experimental analysis by providing structured workflows that integrate computational physics methods with reproducible research practices. The project focuses on reducing the friction involved in setting up experiments, running simulations, and... -
7
Claude Scientific Skills
A set of ready to use Agent Skills for research, science, engineering
Claude Scientific Skills is a large open source collection of ready-to-use scientific capabilities that extend AI coding agents into full research assistants. The project provides more than 170 curated skills covering domains such as genomics, drug discovery, medical imaging, physics, and advanced data analysis. Each skill bundles documentation, examples, and tool integrations so agents can reliably execute complex multi-step scientific workflows. The framework follows the open Agent Skills... -
8
BioNeMo
BioNeMo Framework: For building and adapting AI models
BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications. -
9
Mathematics Dataset
This dataset code generates mathematical question and answer pairs
The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear... -
8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
-
10
AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual ETL tasks like load/unload data from Data Lakes, Data Warehouses, and Databases. ... -
11
PyMC
Bayesian Modeling and Probabilistic Programming in Python
PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling. -
12
Shynet
Modern, privacy-friendly, and detailed web analytics
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS. There are a lot of web analytics tools. Unfortunately, most of them come with the following caveats. They require handing all of your visitors' info to a third-party company They use cookies to track visitors across sessions, so you need to have those annoying cookie notices. They collect so much personal data that even the NSA is jealous. They are closed source and/or expensive, often with limited data... -
13
Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
...Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across diverse robotic tasks and embodiments. The dataset aggregates contributions from multiple open-source robotic projects, all harmonized under a single unified data schema. The repository also provides Colab notebooks for dataset visualization, batching, and model inference, along with pretrained model checkpoints such as RT-1-X, a multitask robotic transformer model trained on this data. -
14
FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations,... -
15
Vedo
A python module for scientific analysis of 3D data
A lightweight and powerful python module for scientific analysis and visualization of 3d objects. Inspired by the vpython manifesto "3D programming for ordinary mortals", vedo makes it easy to work with 3D pointclouds, meshes and volumes, in just a few lines of code, even for less experienced programmers. vedo is based on VTK and numpy, with no other dependencies. Import meshes from VTK format, STL, Wavefront OBJ, 3DS, Dolfin-XML, Neutral, GMSH, OFF, PCD (PointCloud). Export meshes as ASCII... -
16
Baya - SoC Integration Platform
Best in class SoC Integration Platform, IP-XACT, Verilog VHDL, UPF
...Easy to start - use the verilog2baya tool to convert existing SoC/SS into Baya 3. Adhoc and Interface based connections 4. Autoconnections 5. Rule based connections between component ports 6. A variety of SoC integration Methodologies 6.a. XLS/CSV Based connections 6.b. Port-to-Port Adhoc connections 6.c. IP-XACT and System Verilog Interface based connections 6.d. ... 7. Maintains a connectivity database with advance queries 8. Hierarchy Manipulation to create Power Domain, Voltage Domain, comply with Floor planning 8.a. Insert new hierarchy 8.b. ... -
17
OdooPLM
A Full PLM system based on odoo
OdooPLM is an Open Source Odoo Application that allows you to manage PLM Data inside Odoo. You can upload data from the most common commercial CAD systems directly to Odoo with a unique and easy to use interface. Our approach, very quick, ready to use, is very useful for all companies that wants useful and powerful tools. You can install PLM module and its Client without any cost, touching the quality of our product in your real work environment. Official OdooPLM... -
18
LibrePLM
LibrePLM integrates CAD editors in Odoo / LibrERP
...Reduce time to market, improve your business and avoid trivial errors. Server New Release : 2025 Q3 - Release on Odoo version 19.0. Client New Release : 2026 Q1 - Added Draftsight integration. Supported: Windows 11. Added new tool GetNodeID to help you asking activation code. Have more info : https://sourceforge.net/p/libreplm/wiki/Home Odoo is a product of Odoo SA world class leader in Open Source ERP system. Visit: http://www.odoo.com LibreERP and LibrePLM are products of Codebeex srl. Visit: http://www.codebeex.com Download Free Trial Client. ... -
19
dxf2gcode
DXF2GCODE: converting 2D dxf drawings to CNC machine compatible G-Code
DXF2GCODE is a tool for converting 2D (dxf, pdf, ps) drawings to CNC machine compatible GCode. Windows, Linux, and Mac support by using python scripting language. -
20
CAIRO for AERMOD
AERMOD, visualisation, input, modelling and compiling tool
CAIRO for AERMOD v1.1 by MSc Dominik Subotić Simplified training software Avaliable: www.sourceforge.net/projects/cairo-for-aermod/ QGIS plugin: CAIROforAERMOD (Coming 2025.) Tutorial: https://www.youtube.com/watch?v=DZnsJuu1zLc AERMAP, AERMOD and AERPLOT analysis tool and input file compiler. Features: Automatic input by copying coordinates (Google Maps or text) and automatic conversion to UTM. Sources are automatically visualised in Google Earth. Input is done through user... -
21
migrid
A grid middleware with minimal user and resource requirements
[This project moved to Github and is no longer maintained here] Minimum intrusion Grid (MiG) is an attempt to design a new platform for Grid computing which is driven by a stand-alone approach to Grid, rather than integration with existing systems. The goal of the MiG project is to provide Grid infrastructure where the requirements on users and resources alike is as small as possible (minimum intrusion). MiG strives for minimum intrusion but will seek to provide a feature rich and dependable Grid solution. In line with the minimum intrusion concept, you only need to download and install the middleware if you want to run your own Grid. ... -
22
PDP Astronomical Image Framework
Quantum Cosmology & Astrophysics Unified Suite (QCAUS)
... 📸 Live Demo The application is deployed on Streamlit Cloud: Live App test now: https://w7xsyujq7jzxrftum8xzcj.streamlit.app/ QCI AstroEntangle Refiner – FDM soliton physics & image processing Magnetar QED Explorer – Magnetar fields, dark photons & vacuum QED Primordial Photon–DarkPhoton Entanglement – Von Neumann evolution in an expanding universe QCIS (Quantum Cosmology Integration Suite) – Quantum‑corrected cosmological perturbations 🔠Overview These four projects form a complete computational framework for quantum‑inspired astrophysics. Together they enable: Image analysis of galaxy clusters (Abell, Bullet, etc.) using Fuzzy Dark Matter (FDM) soliton overlays. Simulation of magnetar magnetospheres with strong‑field QED, dark photon production, and Kerr geodesics. -
23
rx2fits
HF/VHF spectrosopy code for the rx888mk2 direct-sampling receiver
...This code is for the direct-sampling input of the receiver, which transmits real samples over USB3 at up to 130 MHz sample rate. rx2fits processes these samples to spectral intensities via a Fourier-transform poly-phase filter bank, which provides spectral resolution approaching the spectral bin width with good stop-band and adjacent-channel rejection. Sample rate, Fourier bin count, PFB frame count, integration time and receiver gain parameters can be set. Utilities for device enumeration, firmware upload, display of FITS header, file viewing, and for measuring sample rate and sample statistics are provided. The device interface is Ruslan Migirow's librx888 and dropped samples at 130 MHz are negligible. Runs on linux computers under .Net. -
24
Fosite - advection problem solver
numerical simulation code for solving transport equations in 1D/2D/3D
Fosite is a generic framework for the numerical solution of hyperbolic conservation laws in generalized orthogonal coordinates. Its main purpose is the simulation of compressible flows in accretion disks. The underlying numerical solution method belongs to the family of unsplit conservative finite volume TVD schemes. The method is 2nd order accurate in space and uses high order Runge-Kutta and multistep schemes for time evolution. In addition to the pure advection code several source terms... -
25
The Related Values Processing Framework helps the integration of Process Control Data Historian Systems.
