# Ponder

**Canonical:** https://apis.io/providers/ponder/  
**Website:** https://ponder.io  
**APIs profiled:** 0

Ponder was a data-science software company founded by UC Berkeley RISELab researchers (Doris Lee, Devin Petersohn, and Prof. Aditya Parameswaran) to commercialize the popular open-source Python libraries Modin (a drop-in pandas replacement that scales dataframe workflows with a single line of code) and Lux (automated visualization and intelligent data discovery inside notebooks). Backed by Lightspeed Venture Partners, 8VC, Intel Capital, and The House Fund via a $7M seed in March 2022, Ponder was acquired by Snowflake in October 2023. The ponder.io domain is now parked and no longer serves a live product, developer portal, or API; the open-source libraries remain the durable public surface.

## Kin Score — 5.3 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 0.0 |
| 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)

- **Ponder Domain Security** — DMARC

## Tags

Company, Data Science, DataFrames, Analytics, Python, Machine-Learning, Open-Source

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