Python Datastore

Open-source Python projects categorized as Datastore

Top 6 Python Datastore Projects

  1. diffgram

    The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. pickleDB

    pickleDB is an in memory key-value store using Python's orjson module for persistence.

  4. pystore

    Fast data store for Pandas time-series data

  5. kenobi

    kenobiDB is a document based sqlite3 abstraction for Python 3. (by patx)

    Project mention: KenobiDB: Document based data store using SQLite as a back end | news.ycombinator.com | 2025-01-13
  6. datapusher-plus

    Push data into the CKAN Datastore fast & reliably while inferring, calculating & suggesting metadata using Jinja2 Formulas defined in your scheming metadata schema. It pushes real good!

    Project mention: Developing a CKAN Handler for MindsDB: Bridging Open Data and Machine Learning | dev.to | 2024-10-16

    CKAN serves as a data catalog, organizing metadata and actual data in its databases incorporating Datapusher Plus, powered by the lightning-fast QSV library.

  7. PiEncrypt

    Encrypt your crucial data into Image file.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source Datastore projects in Python? This list will help you:

# Project Stars
1 diffgram 1,867
2 pickleDB 996
3 pystore 578
4 kenobi 67
5 datapusher-plus 35
6 PiEncrypt 1

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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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