REPOGEO REPORT · LITE

argoproj-labs/hera

Default branch main · commit 8f8a6267 · scanned 6/2/2026, 11:26:12 PM

GitHub: 913 stars · 126 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 argoproj-labs/hera, 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

highreadme#1

Reposition the README H1 to specify category

Why:

CURRENT

Hera is the go-to Python SDK to make Argo Workflows simple and intuitive. Easily turn Python functions into containerised templates that run on Kubernetes, with full access to its capabilities.

COPY-PASTE FIX

Hera is the definitive Python SDK for Argo Workflows, enabling developers to programmatically define, manage, and orchestrate complex workflows on Kubernetes entirely in Python, without needing to write YAML.

mediumtopics#2

Add more specific topics to clarify Hera's role

Why:

CURRENT

argo, argo-events, argo-workflows, cloud-native, hera, kubernetes, library, machine-learning, pypi, python, sdk, workflow-automation, workflow-management, workflows

COPY-PASTE FIX

argo, argo-events, argo-workflows, argo-workflows-sdk, cloud-native, hera, kubernetes, kubernetes-workflow-orchestration, library, machine-learning, pypi, python, sdk, python-argo-workflows, workflow-automation, workflow-management, workflows

lowabout#3

Refine the repository description for clarity

Why:

CURRENT

Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python. ⭐️ Remember to star!

COPY-PASTE FIX

Hera is the leading Python SDK for Argo Workflows, simplifying the programmatic definition and orchestration of complex, containerized workflows on Kubernetes entirely in Python. ⭐️ Remember to star!

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 argoproj-labs/hera

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

apache/airflow

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

apache/airflow · recommended 1×
PrefectHQ/prefect · recommended 1×
dagster-io/dagster · recommended 1×
spotify/luigi · recommended 1×
Netflix/metaflow · recommended 1×

CATEGORY QUERY
Python SDK for building and orchestrating complex directed acyclic graph workflows?
you: not recommended
AI recommended (in order):
1. Apache Airflow (apache/airflow)
2. Prefect (PrefectHQ/prefect)
3. Dagster (dagster-io/dagster)
4. Luigi (spotify/luigi)
5. Metaflow (Netflix/metaflow)
6. Bonobo (python-bonobo/bonobo)
AI recommended 6 alternatives but never named argoproj-labs/hera. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Python tool to manage containerized function execution on a cloud-native platform.
you: not recommended
AI recommended (in order):
1. Kubernetes
2. Kubeflow Pipelines
3. Argo Workflows
4. AWS Step Functions
5. AWS Lambda
6. ECS
7. EKS
8. boto3
9. Google Cloud Workflows
10. Cloud Functions
11. Cloud Run
12. GKE
13. Google Cloud Python client library
14. Azure Durable Functions
15. Azure Functions
16. Azure Container Apps
17. AKS
18. Azure SDK for Python
19. Prefect
20. Apache Airflow
21. KubernetesExecutor
22. CeleryKubernetesExecutor
AI recommended 22 alternatives but never named argoproj-labs/hera. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 argoproj-labs/hera?
pass
AI named argoproj-labs/hera explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts argoproj-labs/hera in production, what risks or prerequisites should they evaluate first?
pass
AI named argoproj-labs/hera 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 argoproj-labs/hera solve, and who is the primary audience?
pass
AI named argoproj-labs/hera 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 argoproj-labs/hera. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/argoproj-labs/hera.svg)](https://repogeo.com/en/r/argoproj-labs/hera)

HTML

<a href="https://repogeo.com/en/r/argoproj-labs/hera"><img src="https://repogeo.com/badge/argoproj-labs/hera.svg" alt="RepoGEO" /></a>

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