Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Cleora.ai records 0 monthly visits with 0% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Databrain records 5,880 monthly visits with -44.7% growth and Free Trial, Paid, Contact for Pricing pricing.

Rust-powered, parameter-free graph embedding engine that runs on one CPU core
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | cleora.ai | usedatabrain.com |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 0 (0) | 5.88K (5,880) |
| MoM Traffic Delta | 0 (0%) | -4.76K (-44.7%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (53.3%) |
| Direct Visits / mo | 0 | 2.33K |
| User Rating | 4.6 | 4.2 |
| Supported Platforms | Website | Website |

Rust-powered, parameter-free graph embedding engine that runs on one CPU core
Same input always produces the same output — no stochastic variation, which is critical for reproducible research and production ML pipelines.
Eliminates random walks and skip-gram training entirely by computing exact walk distributions through sparse matrix powers on a single CPU core.
Handles multi-type nodes and edges, bipartite graphs, and hypergraphs natively from a single typed TSV file — no graph preprocessing required.
Around 5 MB with only numpy and scipy as dependencies, versus hundreds of megabytes for PyTorch Geometric or DGL.

Governed agentic and embedded analytics on your own data warehouse
AI drafts metric definitions from your warehouse, you approve them, and every dashboard, embed and agent answer resolves to one signed-off definition.
Ship customer-facing dashboards styled with your design tokens, in light or dark mode, with scheduled reports sent from your own subdomain.
Row-level and column-level rules plus role-scoped guest tokens are enforced before any SQL runs, so an embed can never show more than it allows.
An agent builds charts and edits dashboards from prompts, while an MCP server exposes the governed model to Claude Code, Cursor, Codex or Windsurf.
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos

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Ask your data in plain language, get one trusted answer

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