Strongest current signal
Package downloads
191.0K/30d
Tracked on PyPI
▼ -43%
Experiment tracking and model registry for ML teams
Best current coverage: 191.0K downloads/30d, 59 dependents, and 39 public repos.
Lead signals
Neptune AI has the best coverage in package pull, with downstream usage and engineering activity as support.
Strongest current signal
191.0K/30d
Tracked on PyPI
59
Known dependents on PyPI
39
Public repositories importing tracked packages
Research Brief
No recent Research Brief centers Neptune AI yet. Start with the latest market reporting, then return here for the stored company signals on this page.
Browse Research Briefs →Reading
package pull and downstream usage are the clearest current signals for Neptune AI.
Package pull
191.0K/30d
Tracked package pull on PyPI
Downstream usage
59
Known dependents on PyPI
Existing public code
39
Public repositories importing tracked packages
Coverage includes npm and PyPI registries, public code import detection, and recent company news where available. As of April 14, 2026. Methodology
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Neptune AI.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Neptune AI provides a metadata store for MLOps, helping machine learning teams manage and track their experiments, models, and datasets. It serves as a central hub for versioning, comparing, and collaborating on ML projects, significantly streamlining the development lifecycle from research to production. By offering tools for experiment tracking, model registry, and monitoring, Neptune AI enhances reproducibility, visibility, and efficiency in AI development.
Raised $10M total - DAI rank #102 suggests moderate developer adoption relative to funding.
Almaz Capital
b2venture, Rheingau Founders
4K PyPI
Experiment tracking and model registry for ML teams
A metadata store for MLOps, enabling experiment tracking, model registry, and monitoring for machine learning development and production.
Historical metrics for Neptune AI
Neptune AI: PyPI Dependents remained flat. Code Adoption (Repos) remained flat.
| Date | PyPI Downloads | PyPI Dependents | Code Adoption (Repos) |
|---|---|---|---|
| Mar 16, 2026 | - | 59 | 39 |
| Mar 22, 2026 | 47.8K | - | - |
| Mar 23, 2026 | - | 59 | 39 |
| Mar 29, 2026 | 53.7K | - | - |
| Mar 30, 2026 | - | 59 | 39 |
| Apr 5, 2026 | 37.4K | - | - |
| Apr 6, 2026 | - | 59 | 39 |
| Apr 12, 2026 | 28.1K | - | - |
| Apr 13, 2026 | 3.9K | 59 | 39 |
| Apr 14, 2026 | - | 59 | 39 |