Current repository readingScanned Jul 25, 2026, 4:59 AM UTC

bentoml Codebase Valuation

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

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RepoWorth
github.com/bentoml

BentoML

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

RepoWorth$15,742Current measured development value · 8.9 active build days
Rebuild complexity97.564/100Profile: Complex
1.2M code tokens385 source filesPython primary language
Scanned Jul 25, 2026Public GitHub repositorycodevaluation.com/repoworth/bentoml
Authored code1.2M tokens · 78,414 source lines
Complexity97.564/100 · Complex
Primary stackPython
Scan coverage100% · Content scan
RepoWorth development valuation

One valuation, with the evidence behind it.

RepoWorth models the current development value represented by the visible repository evidence. It does not include ideation, intellectual property, business value, product discovery, or sale price.

RepoWorthCurrent measured development value
$15,742

Modeled range $12,593 to $18,890

8.9 active build days71.4 engineering hours892.3K implementation tokens
Repository evidenceMeasured at the scanned commit
1.2M tokens

78,414 source lines across 385 authored files

114 test files351 dependencies100% scan coverage
Repository evidence

Building the historical and contribution view.

The headline RepoWorth and measured source facts are ready. Comparable history, accepted changes, and badge evidence will appear here as enrichment finishes.

Repository contributors

Top contributors.

Ranked from the public GitHub contributor evidence available at the latest scan. This table describes measured repository activity, not ownership or original authorship.

RankContributorContributionsShare of top groupLatest measured activity
#1eeshsaxena@eeshsaxena5100.0%Current GitHub contributor snapshot
About bentoml

What the public repository appears to contain.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

ai-inferencedeep-learninggenerative-aiinference-platformllmllm-inferencellm-servingllmopsmachine-learningml-engineeringmlopsmodel-inference-service
License
Apache-2.0
Default branch
main
GitHub stars
8,736
Forks
993
Last public push
Jul 20, 2026
Repository state
Active public repository
Detected language profile4.5MB authored source
Python48.9%
JavaScript45.99%
CSS4.01%
Shell0.91%
HTML0.14%
C++0.01%
Java0.01%
Go0.01%
Source files385
Test files114
Manifests2
Dependencies351
Measured technical evidence

A fuller view of what the scanner found.

These values come from the same immutable repository scan as the headline RepoWorth. They stay tied to the scanned commit so the reading can be inspected against one exact source state.

Maintainability signal54/100

Developing based on deterministic repository structure and complexity signals.

Production source1.1M tokens

First-party implementation tokens eligible for the modeled code-scale input.

Test evidence99.1K tokens

114 detected test files contribute separately from production code.

Configuration and infrastructure2.6K tokens

2 manifests and 0 workspace boundaries were detected.

Documentation158K tokens

124 documentation files remain visible as a distinct enablement signal.

Integration surface6,626 signals

351 dependency declarations and 0 public-interface signals were measured.

Repository structure7 levels deep

0 large files and 27,408 branch signals add structural context.

Excluded from authored evidence0 files

22 generated files were identified. Ignored and generated material does not inflate RepoWorth.

Measured repository distinctions

Repository evidence highlights.

Each highlight records a measured characteristic of the same repository scan used for this RepoWorth report.

enablement

Documented foundation

At least 100,000 documentation tokens were measured in public documentation paths.

architecture

Integration surface

At least 1,000 deterministic integration signals were measured in source.

Technical effort profile

What makes this repository harder to rebuild.

Code scale, branching, dependencies, languages, structure, and visible test evidence shape the implementation and verification effort represented by this repository.

Code scaleHigh

Measured from the current source archive.

ComplexityHigh

Derived from branch density, dependencies, languages, and code scale.

VerificationLow

Measures visible test code relative to the source corpus.

Development effort composition

Source volume alone does not explain the work.

This view separates authored evidence from the implementation, integration, verification, and engineering oversight represented by the current repository.

Reading boundary: These are modeled development inputs for the visible code. They do not include product discovery, company value, private systems, or commercial outcomes.

Weighted authored evidence892.3KProduction, tests, configuration, and documentation
Estimated implementation output892.3KImplementation, retries, integration, and verification
Engineering oversight71.4 hoursOrientation, integration, tests, and review
Active build time8.9 daysModeled effort represented by the current source state
Evidence boundary

What this valuation includes.

CodeValuation.com counted supported authored source on commit 73c4dbead99be6515fa25fcd91e348ac30f5c22e, measured deterministic repository signals, then estimated implementation, rework, testing, integration, and engineering oversight.

Included

Supported first-party source, tests, configuration, manifests, repository structure, dependency signals, and framework boundaries.

Excluded

Common generated and vendored files, build output, dependencies, lockfiles, minified assets, binaries, media, and private systems outside this repository.

Not claimed

Ideation, intellectual-property rights, security posture, production reliability, company value, sale price, revenue, user value, proprietary data, or the cost of discovering the original product.

This is a modeled current development valuation for the repository's visible code at a specific commit. It reflects code volume, implementation output, complexity, and engineering oversight. It is not a business valuation, investment appraisal, security review, or estimate of sale price, ideation, intellectual property, revenue, users, brand, proprietary data, undocumented domain knowledge, or private infrastructure.

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