# frankmcsherry/blog

Some notes on things I find interesting and important.

Repository: https://github.com/frankmcsherry/blog
Canonical: https://ross.abutalabs.com/products/frankmcsherry-blog
Language: JavaScript
License Family: other
Last push: 2026-07-29T14:07:16+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 4044, "days_push": 35, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2119, forks 177 (observed 2026-08-28T04:06:16.466676+00:00)

## What it is
Frank McSherry's personal technical blog, hosted as a GitHub repository, covering topics like timely dataflow, differential dataflow, Datalog, columnar layouts, and Materialize. It is a collection of research notes and essays rather than usable software.

## Use cases
- learn how timely dataflow and differential dataflow work
- read about worst-case optimal Datalog joins
- understand columnar data layouts and vectorized execution
- follow research on streaming and incremental computation
- find deep dives on Materialize internals
- study database query processing techniques

## When to choose
- you want in-depth explanations of dataflow and Datalog concepts from their original author
- you are researching incremental view maintenance or stream processing theory
- you want readable essays on database engine internals

## When to avoid
- you need runnable software or a library to install
- you want a maintained tool with a license and releases
- you need beginner-friendly tutorials rather than research-level notes

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: databases, developer-tools, tutorials
- platform: -
- tags: blog, datalog, timely-dataflow, differential-dataflow, materialize, stream-processing, database-internals, research-notes, web-server

## Member repositories
- frankmcsherry/blog (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:16.466676+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:53:02.000682+00:00, confidence not recorded.
  - readme: https://github.com/frankmcsherry/blog (fetched 2026-08-28T04:06:16.466676+00:00, sha e651620d598d)
- Data as of 2026-08-30T08:39:29.467469+00:00.