Awesome Data Analysis
Section: Tools · Tool for experiment tracking, dataset versioning, and model management.
FreshScore 80
Entry
Weights & Biases
Appears in 5 awesome lists
A developer first, lightweight, user-friendly experiment tracking and visualization tool for machine learning projects, streamlining collaboration and simplifying MLOps. W&B excels at tracking LLM-powered applications, featuring W&B Prompts for LLM execution flow visualization, input and output…
Open github.comwandb/wandb
Found in these lists
AWESOME DATA SCIENCE
Section: Miscellaneous Tools · Experiment tracking, dataset versioning, and model management
FreshScore 92
Awesome LLMOps
Section: Experiment Tracking · A developer first, lightweight, user-friendly experiment tracking and visualization tool for machine learning projects, streamlining collaboration and simplifying MLOps. W&B excels at tracking LLM-powered applications, featuring W&B Prompts for LLM execution flow visualization, input and output…
ActiveScore 75
Awesome Production Machine Learning
Section: Model, Data and Experiment Management · Weights & Biase is a machine learning experiment tracking, dataset versioning, hyperparameter search, visualization, and collaboration.
FreshScore 92
awesome-python
Section: Data Science and Analytics · The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
FreshScore 81
Often listed next to it
LiteLLM
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
In 16 listsDetails
Opik
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
In 16 listsDetails
Colossal-AI
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
In 14 listsDetails
Apache Airflow
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…
In 13 listsDetails
Ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
In 13 listsDetails
Haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
In 13 listsDetails