Delve, an open source (AGPL) enterprise-grade data analytics platform
Hello, I am excited to announce the release of my project that I've been working on for quite a while. It has gone through many iterations. I believe that I now have a scalable platform that can efficiently ingest, search and report on large quantities of data. If you are at a very large scale, there will need to be some work to streamline your database access, but it is very possible to build a flexible and robust solution. Delve is built using Django, Django Rest Framework, webpack, JS and SCSS. Delve can be extended with apps, which are actually specially built Django apps. Delve has a…
In plain words
Delve is an open source, enterprise-grade data analytics platform built with Django and Django Rest Framework. It ingests, searches, and generates reports on large volumes of data, with a Unix-pipe-style search language powered by Python scripts. The platform offers table, line chart, and bar chart visualizations and can be extended through custom Django apps. It is designed for organizations needing scalable data analytics infrastructure, though very large deployments may require custom database optimization work.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello, I am excited to announce the release of my project that I've been working on for quite a while. It has gone through many iterations. I believe that I now have a scalable platform that can efficiently ingest, search and report on large quantities of data. If you are at a very large scale, there will need to be some work to streamline your database access, but it is very possible to build a flexible and robust solution. Delve is built using Django, Django Rest Framework, webpack, JS and SCSS. Delve can be extended with apps, which are actually specially built Django apps. Delve has a unix-pipe-like search language that is powered by simple python scripts. The Delve Web UI has support for showing data in tables, line charts and bar charts with more visualizations on the way. I am excited to hear your feedback and suggestions. I will be trying to monitor the comments and reply quickly.
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