Infrastructure / Storage & Retrieval

Pixeltable

Pixeltable is a unified multimodal backend for AI data apps. It stores images, video, audio, documents and structured data in one table interface, indexes embeddings, and runs models and transformations from computed columns declared on insert, in place of separately gluing together blob storage, a vector database and an orchestrator.

Verified 2026-09-02 via the GitHub API and the LICENSE body.

Openness

5 high confidence

5.0

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 library, and the README describes no paid tier, enterprise edition or license-gated build beside it.

https://github.com/pixeltable/pixeltable/blob/main/LICENSE recorded 2026-09-02
LICENSE file is the verbatim Apache-2.0 text.
https://api.github.com/repos/pixeltable/pixeltable recorded 2026-09-02
Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch main - for pixeltable/pixeltable.
https://github.com/pixeltable/pixeltable/blob/main/README.md recorded 2026-09-02
README describes a unified multimodal backend with no paid tier, enterprise edition or license-key-gated build beside the Apache-2.0 library.

Adoption

1 high confidence

1.0

5,065 PyPI downloads of `pixeltable` in the trailing 30 days, which lands in the <10K band of the software usage scale, level 1. Pixeltable is an embedded Python library with no separate server, so the package is the product itself rather than a client to one.

https://pypistats.org/api/packages/pixeltable/recent recorded 2026-09-02
last_month downloads = 5,065 for pixeltable.

Capability

3 medium confidence

3.0

Banded on the category feature matrix as working single-purpose store or index, level with pgvector - it persists and indexes data itself across several modalities, but runs single-node with no distributed cluster mode of its own, so it does not reach the band above.

https://github.com/pixeltable/pixeltable/blob/main/README.md recorded 2026-09-02
README documents a single-node, embedded multimodal table backend with computed columns for model inference and embedding indexing, and no distributed cluster mode.

Verified 2026-09-02