// the find
devlive-community/metaforge
DataCap is integrated software for data transformation, integration, and visualization. Support a variety of data sources, file types, big data related database, relational database, NoSQL database, etc. Through the software can realize the management of multiple data sources, the data under the source of various operations conversion ...
DataCap (recently renamed metaforge) is a self-hosted Java platform for browsing, querying, and converting data across a large range of databases and engines — Postgres, MySQL, ClickHouse, Doris, Snowflake, and dozens more — through a plugin-per-connector architecture. It's aimed at teams that want one UI to poke at many different data sources instead of writing a one-off script or client for each.
The connector list isn't just a logo wall for marketing — each source (clickhouse, mongodb, hdfs, etc.) is its own Maven module implementing a shared SPI, so adding or dropping a data source is a real plugin operation rather than a flag buried in a monolith. The schema migration folder runs from 1.3.0 (2022) through 2026.0.0 with per-version SQL update scripts, which shows years of in-place upgrades rather than a project that got abandoned and resurrected. Calendar-based versioning plus a push as recent as September 2026 means this is actively maintained, not 50 stale connector plugins nobody touches anymore.
The README ships default login credentials in plain text (datacap/123456789, admin/12345678) with no warning to change them and nothing about forcing a reset on first boot — a real problem for anyone exposing this past localhost. Actual usage documentation isn't in the README at all; it's almost entirely badges, a stargazer chart, and a connector logo grid, so you have to leave the repo for anything resembling a quickstart or a screenshot of what you're getting. Post-clone setup involves manually copying git hooks and chmod'ing them, which is odd friction to put in front of users rather than contributors. Building the project means pulling in JDBC drivers and client libraries for dozens of databases you'll probably never use, with no documented way to assemble a slim build with just the connectors you need.