dataset-versioning

This is the public code repository of the BEXIS2 data management software. It contains only modules, components, and packages of the core system. Contributed modules and components will be available in separate repositories. For more information on BEXIS2, please visit our website.

Local content-addressed archive with observation history. Stores bytes by SHA-256, preserves locator state as contiguous spans, compresses with zstd and corpus-trained dictionaries. SQLite-backed.

Python Library that mantains ML pipelines with data checks, plots, training, and versioning. Check the clear documentation here:

FaultLine is a cloud-native geospatial change engine for comparing, validating, and tracking spatial dataset evolution across modern formats like GeoParquet, COG, and PMTiles.

End-to-end platform for LLM post-training. Dataset versioning, training orchestration, model registry, and evaluation pipelines for teams shipping specialized models.

A lockfile for your ML datasets and experiments — reproduce any run without copying a single frame

One-command determinism + manifest for ML projects.

Dataset versioning platform inspired by modern ML infrastructure systems like Hugging Face Hub, built on Apache Iceberg, Spark, and S3.

A reproducible MLOps experiment for publishing and validating tamper-evident datasets.

Mirror models, datasets, mcps, and spaces from GitHub to MEGA Hub

Content-addressed NLP corpus manifests, auditable diffs, provenance, and Ed25519 signatures