AI tools tagged For Data Scientists

Serverless GPUs and infra for training & serving ML.

Generative AI and RAG built into the Snowflake data cloud

Low-code Python AutoML library that wraps scikit-learn, XGBoost, LightGBM and friends behind a few-line API.

LLM-driven web scraping API that turns natural-language prompts into structured JSON.

The ML experiment tracker, now with LLM eval features.

End-to-end MLOps and GenAI platform with open-source experiment tracking and enterprise GPU orchestration.

Enterprise AI platform unifying data, ML, LLMs, and agents under one governed workflow.

Open-source Python-native orchestration platform for AI, ML, and data workflows at production scale.

Enterprise AI platform combining AutoML, generative AI, and vertical agents for regulated industries.

On-demand GPU cloud and serverless inference platform built specifically for AI workloads.

Open-source text-to-SQL agent that learns your schema and writes queries against your real warehouse.

Enterprise observability and evaluation platform for LLM agents and generative AI applications.

Open-source feature store that serves consistent features to ML training and online inference, with RAG vector search built in.

Open-source data quality framework for validating the datasets that feed your ML and analytics pipelines.

Open-source multimodal lakehouse and vector database built for AI training and retrieval at petabyte scale.

Declarative, YAML-driven deep learning framework for fine-tuning LLMs and multi-modal models without writing training loops.

Open-source LLM fine-tuning toolkit with custom kernels that train 2-30x faster and use up to 90% less VRAM.

Semantic layer that grounds LLM agents in your real business metrics instead of letting them hallucinate SQL.

Managed hybrid vector search that lives inside the Databricks lakehouse and auto-syncs with your source tables.

No-code fine-tuning and training pipeline that spins up state-of-the-art models on the Hugging Face Hub.

On-demand NVIDIA GPU cloud built specifically for training, fine-tuning, and serving large AI models.

Open-source platform for tracking, evaluating, and deploying ML models and LLM applications.

Open-source Python framework for automated hyperparameter optimization across any ML stack.

Open-source Python library for distributed hyperparameter tuning at any scale.

Managed fine-tuning platform for open-source LLMs and vision models with LoRA, full fine-tuning, and RL support.

Web scraping and crawling API that returns LLM-ready markdown, JSON, or structured data from any URL.

Mac desktop client that lets you chat with your Postgres database in natural language using your own OpenAI key.

Open-source GenBI semantic layer that lets AI agents query your warehouse in natural language with governed, accurate SQL.

AWS's enterprise AI assistant for developers, analysts, and knowledge workers, wired into your company data.

Ray-powered platform for training, serving, and scaling LLMs.

Git-style version control for datasets, ML models, and experiment pipelines.

Enterprise platform for building, deploying, and governing AI agents alongside classic predictive ML.

Enterprise ModelOps platform for deploying and running AI/ML models across cloud, on-prem, and edge.

NVIDIA's open-source suite of GPU-accelerated drop-in replacements for pandas, scikit-learn, and NetworkX.

Open-source metadata platform that gives AI agents a semantic context graph over your data stack.

Microsoft's open-source trainer that fine-tunes AI agents with RL and prompt optimization, framework-agnostic.

Distributed training, fine-tuning, and serving platform with federated learning roots.

Open-source toolkit for running the full ML lifecycle on Kubernetes.

Holistic benchmark suite for evaluating mathematical reasoning in large language models.

Open-source financial workspace where analysts and AI agents share the same governed data.

Kubernetes-native data versioning and pipeline engine for reproducible ML at petabyte scale.

Live data framework for production RAG and streaming ETL pipelines in Python.

Open-source Python-first orchestrator for ML training pipelines from laptop to cloud.

MLOps platform for versioned pipelines, distributed training, and LLM evaluation across any cloud.

Enterprise AI platform for building, deploying, and governing models and agents at scale.

Open-source workbench for building, evaluating, and fine-tuning AI agents across 190+ models.

Open-source, no-code WebUI for fine-tuning 100+ open LLMs with LoRA, QLoRA, DPO, and PPO.

Open-source BI platform with a Metabot AI layer for natural-language querying over your warehouse.