# Polars

**Canonical:** https://apis.io/providers/polars/  
**Website:** https://pola.rs/  
**APIs profiled:** 0

Polars is a blazingly fast, open-source DataFrame library and query engine written in Rust, with first-party bindings for Python, Rust, Node.js, and R. It provides lazy and eager execution, streaming for larger-than-memory datasets, automatic query optimization, multi-threading, and the Apache Arrow columnar memory format. Polars Cloud extends the same DataFrame API to managed and on-premise distributed compute with zero code changes. The project is developed by pola-rs and backed by Accel and Bain Capital Ventures.

## Kin Score — 16.7 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 16.7).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 18.4 |
| Developer Ergonomics | 42.9 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Polars Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, DataFrames, Data Processing, Query Engine, Rust, Python, Analytics, Open-Source

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/polars/). Scores are computed from the provider's own public artifacts under a published rubric.