awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoServidor MCPAcerca deCómo clasificamosPrensa
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Back to meetkai/functionary

Open-source alternatives to Functionary

15 open-source projects similar to meetkai/functionary, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Functionary alternative.

  • arize-ai/phoenixAvatar de Arize-ai

    Arize-ai/phoenix

    8,605Ver en GitHub↗

    Arize Phoenix is an LLM observability platform and evaluation framework designed to capture execution traces and monitor large language model applications. It serves as a prompt management system for versioning and testing templates, and as a self-hosted AI operations infrastructure for managing telemetry and experiments. The platform differentiates itself through a specialized embedding visualization tool used to detect data drift and optimize vector search. It provides a comprehensive evaluation suite that utilizes judge-based evaluators and ground-truth datasets to score model outputs, and

    Jupyter Notebookagentsai-monitoringai-observability
    Ver en GitHub↗8,605
  • bizarrecake/fmr.aiB

    BizarreCake/fmr.ai

    0Ver en GitHub↗
    Ver en GitHub↗0
  • clarkkev/attention-analysisC

    clarkkev/attention-analysis

    0Ver en GitHub↗
    Ver en GitHub↗0
  • eleutherai/pythiaAvatar de EleutherAI

    EleutherAI/pythia

    2,827Ver en GitHub↗

    This repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand how knowledge develops and evolves during training in autoregressive transformers. For detailed info on the models, their training, and their properties, please see our…

    Jupyter Notebook
    Ver en GitHub↗2,827
  • floomai/floomAvatar de FloomAI

    FloomAI/Floom

    45Ver en GitHub↗

    🌊 Floom, "The K8s for AI", orchestrates & executes Generative AI pipelines, Empowering Developers and DevOps to focus on what matters.

    C#
    Ver en GitHub↗45

Búsqueda con IA

Explora más repositorios increíbles

Describe lo que necesitas en lenguaje sencillo: la IA clasifica miles de proyectos open-source curados por relevancia.

Find more with AI search
  • floriandietz/comgraF

    FlorianDietz/comgra

    0Ver en GitHub↗
    Ver en GitHub↗0
  • inseq-team/inseqI

    inseq-team/inseq

    0Ver en GitHub↗
    Ver en GitHub↗0
  • jalammar/eccoAvatar de jalammar

    jalammar/ecco

    2,101Ver en GitHub↗

    Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

    Jupyter Notebookexplorableslanguage-modelsnatural-language-processing
    Ver en GitHub↗2,101
  • jetrunner/supericlJ

    JetRunner/SuperICL

    0Ver en GitHub↗
    Ver en GitHub↗0
  • kmeng01/romeK

    kmeng01/rome

    0Ver en GitHub↗
    Ver en GitHub↗0
  • mwatkins1970/spellgptM

    mwatkins1970/SpellGPT

    0Ver en GitHub↗
    Ver en GitHub↗0
  • neelnanda-io/transformerlensN

    neelnanda-io/TransformerLens

    0Ver en GitHub↗
    Ver en GitHub↗0
  • openai/automated-interpretabilityO

    openai/automated-interpretability

    0Ver en GitHub↗
    Ver en GitHub↗0
  • samuela/git-re-basinS

    samuela/git-re-basin

    0Ver en GitHub↗
    Ver en GitHub↗0
  • vanna-ai/vannaAvatar de vanna-ai

    vanna-ai/vanna

    22,707Ver en GitHub↗

    Vanna is a Python framework designed to build conversational interfaces that translate natural language into executable database queries. It functions as an enterprise-grade toolkit that connects language models to relational databases, allowing users to retrieve information through conversational prompts rather than manual code. The system maintains context across interactions by utilizing vector databases to store historical query patterns and schema metadata. The framework distinguishes itself through a focus on security and schema-aware generation. It incorporates granular access control,

    Pythonagentaidata-visualization
    Ver en GitHub↗22,707