Alternatives to Neptune.ai

10 alternatives

  1. 1MLOps Platforms

    Verta

    Machine Learning Platforms

    MLOps platform for model management, deployment, and monitoring with model registry and experiment tracking.

    Model training and experimentationModel deployment and servingModel fine tuning
  2. 2MLOps Platforms

    Censius

    MLOps Platforms

    AI observability platform for end-to-end ML monitoring with performance tracking and explainability dashboards.

    Free plan
  3. 3MLOps Platforms

    Langtrace

    MLOps Platforms

    Open-source LLM observability framework using OpenTelemetry for traces and metrics.

    Free plan
  4. 4MLOps Platforms

    Weights & Biases

    MLOps Platforms

    Weights & Biases is an MLOps platform for experiment tracking, model evaluation, dataset versioning, and hyperparameter tuning used by AI teams including OpenAI, Meta, and top foundation model builders.

    Free planFree trialISO 27001SOC 2HIPAAGDPR
  5. 5MLOps Platforms

    Modelbit

    MLOps Platforms

    ML deployment platform letting data scientists deploy models to production REST APIs directly from Jupyter notebooks.

    Free plan
  6. 6MLOps Platforms

    NStack

    MLOps Platforms

    Platform for deploying, sharing, and collaborating on functional machine learning workloads.

  7. 7MLOps Platforms

    Prompts Ninja

    MLOps Platforms

    Prompt optimization platform delivering evaluation and versioning for LLM teams.

  8. 8MLOps Platforms

    Sematic

    MLOps Platforms

    Open-source ML pipeline framework combining code-first workflows with production deployment.

    Free plan
  9. 9MLOps Platforms

    Vigil AI

    MLOps Platforms

    AI governance and observability platform for monitoring production generative AI.

  10. 10MLOps Platforms

    Valohai

    MLOps Platforms

    MLOps platform for automating model training, evaluation, and deployment with version control and pipeline orchestration.

    Experiment tracking and versioningDistributed model trainingMulti cloud and on premises deployment