RRepoGEO

REPOGEO REPORT · LITE

facebookarchive/bistro

Default branch main · commit 90b9c33c · scanned 5/21/2026, 3:22:52 AM

GitHub: 1,027 stars · 140 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface facebookarchive/bistro, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    distributed-scheduler, batch-processing, etl, workflow-orchestration, resource-management, data-pipelines, task-runner, distributed-systems
  • highreadme#2
    Reposition the README H1 to specify core categories

    Why:

    CURRENT
    # Bistro: A fast, flexible toolkit for scheduling and running distributed tasks
    COPY-PASTE FIX
    # Bistro: A flexible distributed scheduler and workflow orchestrator for high-performance batch tasks and ETL
  • mediumreadme#3
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators

Unlike many generic workflow orchestrators, Bistro's core strength lies in its data-aware, stateful scheduling, specifically optimized for large-scale, historical data processing and efficient backfills. It was designed to track and manage the state of data processing over time, making it highly effective for complex, dependent batch jobs.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface facebookarchive/bistro
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apache Mesos
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache Mesos · recommended 1×
  2. Kubernetes · recommended 1×
  3. HashiCorp Nomad · recommended 1×
  4. Apache YARN · recommended 1×
  5. Celery · recommended 1×
  • CATEGORY QUERY
    How can I manage and schedule distributed tasks while enforcing resource constraints effectively?
    you: not recommended
    AI recommended (in order):
    1. Apache Mesos
    2. Kubernetes
    3. HashiCorp Nomad
    4. Apache YARN
    5. Celery
    6. RabbitMQ
    7. Redis
    8. Apache Airflow

    AI recommended 8 alternatives but never named facebookarchive/bistro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for high-performance batch job scheduling and resource-aware ETL workloads?
    you: not recommended
    AI recommended (in order):
    1. Apache Airflow (apache/airflow)
    2. AWS Step Functions
    3. Prefect (PrefectHQ/prefect)
    4. Dagster (dagster-io/dagster)
    5. Luigi (spotify/luigi)
    6. Apache Flink (apache/flink)
    7. Azure Data Factory

    AI recommended 7 alternatives but never named facebookarchive/bistro. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of facebookarchive/bistro?
    pass
    AI named facebookarchive/bistro explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts facebookarchive/bistro in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookarchive/bistro explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo facebookarchive/bistro solve, and who is the primary audience?
    pass
    AI named facebookarchive/bistro explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of facebookarchive/bistro. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/facebookarchive/bistro.svg)](https://repogeo.com/en/r/facebookarchive/bistro)
HTML
<a href="https://repogeo.com/en/r/facebookarchive/bistro"><img src="https://repogeo.com/badge/facebookarchive/bistro.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

facebookarchive/bistro — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite