NannyML provides Python tools for post-deployment data science and monitoring model performance under data drift.
Pachyderm
Pachyderm provides data-focused pipelines and version control for datasets and related workflows.

About Pachyderm
Pachyderm is an open-source project for building data-centric pipelines with version control for datasets and related workflows. Pipelines are data-driven and trigger automatically when data changes are detected, while immutable data lineage and versioning are tracked for any data type. Processing is parallelized across multi-stage, language-agnostic pipelines, with autoscaling built on Kubernetes for resource orchestration, and data is held in standard object stores with automatic deduplication.
Key features
- Data-driven pipelines trigger automatically when data changes are detected
- Immutable data lineage with data versioning for any data type
- Autoscaling and parallel processing built on Kubernetes
- Multi-stage, language-agnostic pipeline processing
- Uses standard object stores with automatic deduplication
- Runs on major cloud providers and on-premises installations
- Open source and released under the Apache-2.0 license
- Supports deployment on major cloud providers and on-premises installations
- Combines data versioning, lineage tracking and pipeline automation
- No pricing information is stated in the source
- Anonymized usage metrics are reported automatically unless disabled via the METRICS environment variable
- Autoscaling and parallel processing are built on Kubernetes
Pachyderm at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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