Search Results for "ai data analyst" - Page 4
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Showing 135 open source projects for "ai data analyst"
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FastMCP Framework
A TypeScript framework for building MCP servers
...Because it’s built in TypeScript and designed with modern deployment targets (Node.js, Cloudflare Workers, etc), it aims to support production-ready MCP servers with strong type safety and extensibility. Developers can use it to build server back-ends that expose data or capabilities to LLM applications in a standardized way, reducing the custom boilerplate required for integrating with AI systems. It includes tooling for development (examples, CLI) and is open-source, inviting contributions and extensions. -
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Librelancer
A re-implementation of Freelancer
Librelancer is an open-source reimplementation of the engine behind Freelancer, the iconic 2003 space trading and combat simulation game by Microsoft. Written in C# and powered by OpenGL and modern game development practices, Librelancer faithfully replicates the original gameplay while providing a flexible codebase for modding, analysis, and future enhancements. It supports original assets and is designed to be both a preservation project and a foundation for new space simulation games... -
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MetricFlow
MetricFlow allows you to define, build, and maintain metrics in code
...Because metric definitions live centrally, you avoid duplication across teams and tools, reduce risk of inconsistent numbers, and make it easier to audit and evolve the logic over time. The project emphasizes explainability, performance and portability: you define metrics once and then they can be consumed in BI tools, notebooks, or even AI/agent-driven workflows. -
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Bloxtor framework
Bloxtor is a professional and intelligent framework
Bloxtor is a professional and intelligent web-development framework designed for No-Coders, Low-Coders, and Coders alike. It functions as a versatile code reader and converter, seamlessly transforming code into visual environments and visual components back into code. The concept is to provide a centralized AI-powered web development platform with multiple levels of Citizen Development, empowering both technical and non-technical developers to easily create any type of web application, while... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Jina
Build cross-modal and multimodal applications on the cloud
...Fast deployment to Kubernetes, Docker Compose and Jina Cloud. Improved engineering efficiency thanks to the Jina AI ecosystem, so you can focus on innovating with the data applications you build. -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
Visual Blocks is a node-based, in-browser environment for building AI and data-processing workflows with drag-and-drop components. It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. ... -
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CubeFS
cloud-native file store
CubeFS is a new generation cloud-native storage that supports access protocols such as S3, HDFS, and POSIX. It is widely applicable in various scenarios such as big data, AI/LLMs, container platforms, separation of storage and computing for databases and middleware, data sharing and protection, etc. Compatible with various access protocols such as S3, POSIX, HDFS, etc., and the access between protocols can be interoperable. Support replicas and erasure coding engines, users can choose flexibly according to business scenarios. ... -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers,... -
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NVTX (NVIDIA Tools Extension Library)
C-based Application Programming Interface (API)
NVTX (NVIDIA Tools Extension) is a cross-platform API designed to annotate source code with rich metadata that can be consumed by developer profiling and debugging tools. It allows developers to insert markers, ranges, and events directly into their applications, providing contextual insight into how code executes on CPUs and GPUs. These annotations are visualized in tools such as NVIDIA Nsight Systems and Nsight Compute, enabling developers to identify performance bottlenecks, track... -
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claude-code-transcripts
Tools for publishing transcripts for Claude Code sessions
claude-code-transcripts is a command-line utility that takes session files exported from Claude Code (in JSON or JSONL format) and turns them into clean, navigable HTML transcripts that can be viewed in any modern web browser. It is designed to make the often dense and verbose outputs from AI coding sessions easier to read, share, and archive by breaking conversations into paginated, annotated pages with navigable timelines of prompts and responses. Users can run this tool locally or fetch... -
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Kornia
Open Source Differentiable Computer Vision Library
Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within... -
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TinyGSM
A small Arduino library for GSM modules, that just works
A small Arduino library for GSM modules that just works. This library is easy to integrate with lots of sketches that use Ethernet or WiFi. PubSubClient (MQTT), Blynk, HTTP Client, and File Download examples are provided. Arduino GSM library uses 15868 bytes (49%) of Flash and 1113 bytes (54%) of RAM in a similar scenario. TinyGSM also pulls data gently from the modem (whenever possible), so it can operate on very little RAM. Now, you have more space for your experiments. TCP (HTTP, MQTT,... -
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Logic Programming and Deductive Database system (Tabled Prolog) for Unix, Mac, and Windows.
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CodinIT.dev
Free, local, open-source AI app builder
CodinIT.dev is a free, local, open source AI app builder that lets you go from idea to full-stack application entirely on your machine, no coding required, just chat with AI. You can build unlimited apps with real-time previews, instant undo, and responsive, frictionless workflows. Deep Supabase integration means you can create UI and backend logic in one cohesive environment, while the model-agnostic architecture lets you connect to any AI, whether cloud-based (Gemini 3 Pro, GPT-5, Claude Sonnet 4.5) or local via Ollama, so you’re never locked in. ... -
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cozystack
PaaS and framework that replace or compete with AWS, VMware
...Banks and fintechs, AI-driven companies, service providers and data centers, governances, regulated and privacy-conscious organizations, integrators and independent IT consultants -
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DocWire SDK
Award-winning modern data processing SDK in C++20
...DocWire SDK aims to expand its capabilities, focusing on versatile data extraction, platform support, and seamless integration with various systems. DocWire SDK is dedicated to streamlining data processing, reducing development time and costs, and harnessing the potential of AI. Its advancements promise a superior experience compared to its predecessor, DocToText. -
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VulcanSQL
Data API Framework for AI Agents and Data Apps
Vulcan SQL is a modern data API framework that lets you build secure and scalable data APIs directly from SQL files. Designed for data teams, it allows the definition of parameterized queries, policy enforcement, and transformation layers using familiar SQL syntax. Vulcan SQL integrates with BI tools and data warehouses, making it easy to expose internal datasets as RESTful APIs. -
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Zylthra
Zylthra: A PyQt6 app to generate synthetic datasets with DataLLM.
Welcome to Zylthra, a powerful Python-based desktop application built with PyQt6, designed to generate synthetic datasets using the DataLLM API from data.mostly.ai. This tool allows users to create custom datasets by defining columns, configuring generation parameters, and saving setups for reuse, all within a sleek, dark-themed interface. -
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Reqcore
Open Source Applicant Tracking System (ATS)
Reqcore is a modern, open source Applicant Tracking System (ATS) designed to simplify the entire recruitment workflow. Built for teams and startups, Reqcore provides a transparent and flexible alternative to bloated, proprietary hiring platforms. As a fully open-source recruiting software, Reqcore gives you total control over your talent acquisition data. Manage your candidate pipeline, track applicants, and collaborate with your team to make faster, better hiring decisions, all within a... -
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LangChain Apps on Production with Jina
Langchain Apps on Production with Jina & FastAPI
Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. -
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AI-Agent-Host
The AI Agent Host is a module-based development environment.
The AI Agent Host provides a seamless interface for managing and querying data, visualizing results, and coding in real-time. The AI Agent Host is built specifically for LangChain, a framework dedicated to developing applications powered by language models. LangChain recognizes that the most powerful and distinctive applications go beyond simply utilizing a language model and strive to be data-aware and agentic. -
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Coframe
Coframe brings your UX to life with AI-powered optimization
...It's A/B testing, but with a serious upgrade. Coframe uses the latest in AI to generate copy that is tailored to your users. Resulting performance data is fed back in to continuously improve your platform's content. With Coframe, your website or app works for you 24/7, not the other way around. All it takes to get up and running is a few lines of code. Coframe gives you full control and visibility. Our mission is to give every digital interface its own sense of intelligence. -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the...
