Current repository readingScanned Jul 24, 2026, 1:07 PM UTC

agent-lightning Codebase Valuation

The absolute trainer to light up AI agents.

View microsoft/agent-lightning on GitHub
Open share card

This report is available to share but is not indexed because the scan coverage or repository footprint is below the publication threshold.

CodeValuation.com
RepoWorth
github.com/microsoft

agent-lightning

The absolute trainer to light up AI agents.

RepoWorth$11,743Current measured development value · 6.7 active build days
Rebuild complexity95.395/100Profile: Complex
819.5K code tokens370 source filesPython primary language
Scanned Jul 24, 2026Public GitHub repositorycodevaluation.com/repoworth/agent-lightning
Authored code819.5K tokens · 100,151 source lines
Complexity95.395/100 · 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
$11,743

Modeled range $9,394 to $14,091

6.7 active build days53.8 engineering hours672.9K implementation tokens
Repository evidenceMeasured at the scanned commit
819.5K tokens

100,151 source lines across 370 authored files

72 test files399 dependencies100% scan coverage
Measured RepoWorth history

The current RepoWorth starts the measured history.

This current scan is the first measured point. Later scans add comparable history when the repository changes. RepoWorth is not back-cast onto commits that were never scanned.

Recorded RepoWorth$11,743
Current measured reading
Measured · Jul 24, 2026Data through · Jul 24, 2026
Measurement basisCurrent readingCurrent published repository scan
Evidence coverage100%current scan
Complexity95/100Measured from code scale and structural signals
Maintainability67/100Current structure, tests, and generated-code balance

This current scan establishes the RepoWorth baseline. Comparable value changes appear only after another completed scan under the same measurement basis.

52-week repository activity

240 commits across the public default-branch history.

Commit activity provides delivery context. It does not assign a historical RepoWorth to unscanned commits or treat commit count as value.

Jul 27, 2025Weekly commitsJul 19, 2026

RepoWorth history compares completed repository scans only when their measurement basis is compatible. Commit activity is shown separately so delivery volume is not presented as code value.

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
#1ultmaster@ultmaster20988.9%Current GitHub contributor snapshot
#2acured@acured62.6%Current GitHub contributor snapshot
#3wizardlancet@wizardlancet52.1%Current GitHub contributor snapshot
#4hzy46@hzy4641.7%Current GitHub contributor snapshot
#5JiahangXu@JiahangXu31.3%Current GitHub contributor snapshot
#6beanie00@beanie0020.9%Current GitHub contributor snapshot
#7lspinheiro@lspinheiro20.9%Current GitHub contributor snapshot
#8zxgx@zxgx20.9%Current GitHub contributor snapshot
#9salmanmkc@salmanmkc10.4%Current GitHub contributor snapshot
#10lunaqiu@lunaqiu10.4%Current GitHub contributor snapshot
About agent-lightning

What the public repository appears to contain.

The absolute trainer to light up AI agents.

agentagentic-aillmmlopsreinforcement-learning
License
MIT
Default branch
main
GitHub stars
17,422
Forks
1,525
Last public push
Jul 16, 2026
Repository state
Active public repository
Detected language profile3.6MB authored source
Python83.08%
TypeScript14.5%
Shell0.88%
CSS0.8%
JavaScript0.68%
HTML0.07%
Source files370
Test files72
Manifests3
Dependencies399
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 signal67/100

Established based on deterministic repository structure and complexity signals.

Production source552.1K tokens

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

Test evidence267.4K tokens

72 detected test files contribute separately from production code.

Configuration and infrastructure4K tokens

3 manifests and 0 workspace boundaries were detected.

Documentation83.3K tokens

53 documentation files remain visible as a distinct enablement signal.

Integration surface3,341 signals

399 dependency declarations and 360 public-interface signals were measured.

Repository structure6 levels deep

0 large files and 9,203 branch signals add structural context.

Excluded from authored evidence0 files

7 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.

architecture

Integration surface

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

quality

Verification depth

At least 20 percent of measured source tokens are in test paths.

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.

VerificationHigh

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 evidence672.9KProduction, tests, configuration, and documentation
Estimated implementation output672.9KImplementation, retries, integration, and verification
Engineering oversight53.8 hoursOrientation, integration, tests, and review
Active build time6.7 daysModeled effort represented by the current source state
Evidence boundary

What this valuation includes.

CodeValuation.com counted supported authored source on commit f0a77cfad71e6222a3edb7dfc7a0f611bd231364, 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.

Check another repository

Run RepoWorth on your own codebase.

Enter a public GitHub URL to create a current repository reading.

No sign-up for public repositories. Private repositories require a free trial. Evaluated in real time directly from GitHub. Code is never stored. Derived measurements and valuation history are saved.