Voxel51 leads in npm + PyPI downloads at 23.6K/mo. Compare Leonardo AI, MindsDB, Voxel51 across package adoption, contributors, funding, and discussion signals.
Data sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, job boards. Methodology →
Leonardo AI: 773 npm + PyPI downloads/mo (+366% MoM), 24 GitHub stars, $31M funded vs
MindsDB: 1.4K npm + PyPI downloads/mo (+17% MoM), 38.8K GitHub stars, 4 active contributors, 75 repos importing, $51M funded vs
Voxel51: 23.6K npm + PyPI downloads/mo (+85% MoM), 10.5K GitHub stars, 1 active contributors, 64 repos importing, $45M funded
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources. Methodology →
Voxel51 leads in package downloads with 23.6K per month, followed by MindsDB at 1.4K, then Leonardo AI (773).
MindsDB has the most GitHub stars at 38.8K, compared to 10.5K for Voxel51.
In total disclosed funding, MindsDB leads: MindsDB ($51M), Voxel51 ($45M), Leonardo AI ($31M).
MindsDB leads in real-world code adoption, appearing in 75 GitHub repositories.
These companies span Image Generation, AI Infrastructure.
← Scroll to compare →
| Metric | Updated Mar 23 | Updated Mar 23 | Updated Mar 23 |
|---|---|---|---|
| Website | leonardo.ai → | mindsdb.com → | voxel51.com → |
| Description | AI image generator focused on game art and creative workflows. | AI tables platform bringing ML models inside existing databases | Open-source toolkit for building computer vision datasets |
| Data Confidence Source: AI-BuzzUpdates: DailyNote: Composite score (0-100) based on field completeness, metric freshness, and identifier coverage. Higher = more reliable data.Methodology → | Excellent (92%) | Excellent (97%) | Excellent (89%) |
| Signal Coverage Source: AI-BuzzUpdates: DailyNote: Number of non-null adoption metrics tracked. Companies with more signals have more reliable composite scores.Methodology → | 2/7 metrics | 4/7 metrics | 4/7 metrics |
| Total Disclosed Funding Source: Public records / manual researchUpdates: WeeklyMethodology → | $31M | $51M✓ | $45M |
| Last Funding | Venture Dec 2023 | Strategic Investment Aug 2023 | Series B May 2024 |
| Developer Adoption | |||
| Momentum | 43Moderate | 29 | 47Moderate✓ |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | 0✓ | 0 | 0 |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | 773 | 1.4K | 23.6K✓ |
| PyPI Trend (30d) | |||
| Total Downloads - npm + PyPI (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | 773+607 downloads | 1.4K+208 downloads | 23.6K+85%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | 0 | 4✓ | 1 |
| Contributors Trend | - | -64% | 0% |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPIMethodology → | 0 | 0 | 29✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | 0 | 75✓ | 64 |
| Status | Private | Private | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: DailyMethodology → | 0✓ | 0 | 0 |
| HN Mentions Trend (30d) | |||
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyMethodology →Exclusive | 1✓ | - | 1 |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicatorMethodology → | 24 | 38.8K✓ | 10.5K |
| Founded | 2022 | 2017 | 2016 |
| Primary Category | |||
| Data Last Updated | |||
Data sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, job boards. Methodology →
Licensed CC BY 4.0. Free to cite with attribution.
Which AI companies are developers actually adopting? We track npm and PyPI downloads for hundreds of companies. Get the biggest shifts delivered weekly.
Compare metric trends across companies over time
Comparing PyPI Downloads over 30 days: Voxel51 (23.6K), MindsDB (1.4K), Leonardo AI (773).
Source: PyPI (BigQuery) | Methodology | CC BY 4.0
| Date | Leonardo AI | MindsDB | Voxel51 |
|---|---|---|---|
| Feb 28 | 9 | 286 | 7.6K |
| Mar 7 | 270 | 82 | 8.8K |
| Mar 14 | 573 | 138 | 24.1K |
| Mar 21 | 1.2K | 979 | 28.4K |
| Mar 22 | 773 | 1.4K | 23.6K |
