Alternatives to Prompts Ninja

10 alternatives

  1. 1MLOps Platforms

    Langtrace

    MLOps Platforms

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

    Free plan
  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

    Modelbit

    MLOps Platforms

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

    Free plan
  4. 4MLOps Platforms

    Neptune.ai

    MLOps Platforms

    Experiment tracking and model registry for ML teams logging metrics, parameters, and artifacts across training runs.

    Free planFree trial
  5. 5MLOps Platforms

    NStack

    MLOps Platforms

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

  6. 6MLOps Platforms

    Sematic

    MLOps Platforms

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

    Free plan
  7. 7MLOps Platforms

    Vigil AI

    MLOps Platforms

    AI governance and observability platform for monitoring production generative AI.

  8. 8MLOps Platforms

    PromptArmor

    AI Security Platforms

    AI security platform defending LLM applications from prompt injection and exploits.

    AI vendor risk assessment across 26 risk vectorsIndirect prompt injection and data exfiltration analysisMcp connector risk assessment and monitoring
  9. 9MLOps 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
  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