# encord-team/encord-active

<https://repo.masters-masters.com/en/repos/encord-team/encord-active>

[Home](https://repo.masters-masters.com/en) › [encord-team](https://repo.masters-masters.com/en/owners/encord-team) › [encord-active](https://repo.masters-masters.com/en/repos/encord-team/encord-active)

encord-team/encord-active has 460 stars on GitHub. Its RepoMasters card: Alpha tier. The toolkit to test, validate, and evaluate your models and surface…

| Field | Value |
| --- | --- |
| Owner | [encord-team](https://repo.masters-masters.com/en/owners/encord-team) |
| Stars | 460 |
| Forks | 30 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | computer-vision, data, data-science, data-validation, deep-learning, machine-learning, ml, mlops, python, active-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [encord-team/encord-active](https://github.com/encord-team/encord-active) |

## Repository

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.