AI tools tagged For Data Scientists
48 tools matching this tag.audience
Gemini Advanced
Google's flagship — strong at math, long context, and Workspace integration.
Google Vertex AI
Google Cloud's unified platform for building, deploying, and scaling enterprise AI agents and models.
PyCaret
Low-code Python AutoML library that wraps scikit-learn, XGBoost, LightGBM and friends behind a few-line API.
Dataiku
Enterprise AI platform unifying data, ML, LLMs, and agents under one governed workflow.
RunPod
On-demand GPU cloud and serverless inference platform built specifically for AI workloads.
BentoML
Open-source framework and managed platform for serving and scaling AI models in production.
Google AI Studio
Browser-based playground and API console for prototyping with Google's Gemini models.
Ludwig
Declarative, YAML-driven deep learning framework for fine-tuning LLMs and multi-modal models without writing training loops.
Unsloth
Open-source LLM fine-tuning toolkit with custom kernels that train 2-30x faster and use up to 90% less VRAM.
Athina AI
Collaborative LLM evaluation and observability platform for teams shipping AI features to production.
Hugging Face AutoTrain
No-code fine-tuning and training pipeline that spins up state-of-the-art models on the Hugging Face Hub.
NotebookLM
Google's source-grounded research notebook that turns your documents into chats, briefs, and AI-hosted podcasts.
OpenAI Evals
OpenAI's open-source framework for benchmarking LLMs against a shared registry of evaluations.
Optuna
Open-source Python framework for automated hyperparameter optimization across any ML stack.
Ray Tune
Open-source Python library for distributed hyperparameter tuning at any scale.
CAMEL-AI
Open-source Python framework for building multi-agent systems and synthetic data pipelines.
DVC
Git-style version control for datasets, ML models, and experiment pipelines.
LLM Stats
Live leaderboard and side-by-side comparison hub for 300+ frontier LLMs across reasoning, coding, and multimodal benchmarks.
RAPIDS
NVIDIA's open-source suite of GPU-accelerated drop-in replacements for pandas, scikit-learn, and NetworkX.
Agent Lightning
Microsoft's open-source trainer that fine-tunes AI agents with RL and prompt optimization, framework-agnostic.
FedML
Distributed training, fine-tuning, and serving platform with federated learning roots.
Gorilla
Open-source LLM purpose-built for function calling and API invocation across thousands of tools.
Kubeflow
Open-source toolkit for running the full ML lifecycle on Kubernetes.
MMagic
OpenMMLab's research-grade toolbox for image and video generation, restoration, and editing.
OpenBB
Open-source financial workspace where analysts and AI agents share the same governed data.
Sematic
Open-source Python-first orchestrator for ML training pipelines from laptop to cloud.
Valohai
MLOps platform for versioned pipelines, distributed training, and LLM evaluation across any cloud.
Beam
Serverless GPU infrastructure for AI workloads with sub-second cold starts and bring-your-own-cloud support.
Emergent Mind
AI-curated arXiv discovery layer that summarizes frontier papers and aggregates social discussion around them.
Geniusrise
Open-source framework for building, deploying, and scaling AI microservices across text, vision, and audio.
Inspect AI
Open-source LLM evaluation framework from the UK AI Security Institute with 200+ built-in benchmarks.
Kiln AI
Open-source workbench for building, evaluating, and fine-tuning AI agents across 190+ models.
Paperspace Gradient
End-to-end MLOps platform with GPU notebooks, training jobs, and model deployment, now folded into DigitalOcean.
Recommenders
Open-source Python library with classical and deep-learning algorithms for building recommendation systems.
H2O AutoML
Open-source automated machine learning that handles feature engineering, model selection, and stacked ensembling out of the box.
Iguazio
Enterprise MLOps and GenAI platform for taking models from notebook to production at scale.
KNIME
Visual node-based data science platform with built-in connectors for OpenAI, Anthropic, Gemini, and local LLMs.
PandasAI
Conversational data analysis library that turns natural-language questions into pandas, SQL and chart code.
Runcell
Jupyter-native AI agent built for multi-week ML and data science projects.
W&B Sweeps
Hyperparameter optimization from Weights & Biases with Bayesian search and Hyperband early stopping.
Amazon SageMaker
AWS's end-to-end platform for building, training, and deploying machine learning models and AI agents at enterprise scale.
Jina Serve
Open-source Python framework for serving multimodal AI models as scalable gRPC/HTTP microservices.
ONNX
Open standard for representing and exchanging machine learning models across frameworks and runtimes.
OpenSandbox
Open-source sandbox infrastructure for running AI-generated code, agents, and browsers in isolated Docker or Kubernetes environments.
ZenMic
Text-to-podcast generator with multi-speaker AI voices and RSS publishing.
Chassis
Open-source tool that auto-packages ML models into production-ready Docker containers with a prediction API.
Count
Collaborative AI-powered data canvas that blends SQL, Python, and natural-language agents for team analytics.
Guild AI
Control plane for deploying, governing, and auditing AI agents in production.