Vespa

license

Apache-2.0(OSI)

source

public

core-gated

ungated

Apache-2.0 license body confirmed. The repository is public and unarchived and builds the whole product, and the README describes no paid tier, enterprise edition or license-gated build beside it, so source is public and the core ungated.

• https://github.com/vespa-engine/vespa/blob/master/LICENSE recorded 2026-08-18

  LICENSE file is the verbatim Apache-2.0 text

• https://api.github.com/repos/vespa-engine/vespa recorded 2026-08-18

  Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch master - for vespa-engine/vespa.

• https://github.com/vespa-engine/vespa/blob/master/README.md recorded 2026-08-18

  README describes search, inference and organization over vectors, tensors, text and structured data at serving time and any scale, with the repository stating it contains all the code required to build and run Vespa and that everything in it is Apache-2.0, with no paid tier, enterprise edition or license-key-gated build beside it.

7,054 GitHub stars, which lands in the 1K-10K stars band of the stars scale, level 2. Vespa is deployed as a cluster from container images and RPM packages; the `pyvespa` package on PyPI is a client for a running system, not the product, so attaching its downloads here would measure the wrong thing. No deployment count is published, which leaves the stars scale and its cap of 3.

• https://api.github.com/repos/vespa-engine/vespa recorded 2026-08-18

  Repo metadata - stargazers_count = 7,054 - for vespa-engine/vespa.

Banded on the category feature matrix as distributed retrieval platform with ranking and inference. This is the category's top anchor: the matrix bands on how much of the persist-index-retrieve path a product provides itself, at what scale and over how many retrieval modes, and nothing else in the roster performs more of it. Every other band in the category is placed against this one.

• https://github.com/vespa-engine/vespa/blob/master/README.md recorded 2026-08-18

  README still documents search, inference and organization over vectors, tensors, text and structured data at serving time and any scale, with the repository stating it contains all the code required to build and run Vespa and that everything in it is Apache-2.0.