Current repository readingScanned Jul 24, 2026, 5:02 PM UTC

FastVideo Codebase Valuation

A unified inference and post-training framework for accelerated video generation.

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RepoWorth
github.com/hao-ai-lab

FastVideo

A unified inference and post-training framework for accelerated video generation.

RepoWorth$41,049Current measured development value · 23.0 active build days
Rebuild complexity100/100Profile: Complex
2.8M code tokens1.5K source filesPython primary language
Scanned Jul 24, 2026Public GitHub repositorycodevaluation.com/repoworth/fastvideo
Authored code2.8M tokens · 334,551 source lines
Complexity100/100 · 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
$41,049

Modeled range $32,839 to $49,258

23.0 active build days183.9 engineering hours2.3M implementation tokens
Repository evidenceMeasured at the scanned commit
2.8M tokens

334,551 source lines across 1,489 authored files

355 test files330 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$41,049
Current measured reading
Measured · Jul 24, 2026Data through · Jul 24, 2026
Measurement basisCurrent readingCurrent published repository scan
Evidence coverage100%current scan
Complexity100/100Measured from code scale and structural signals
Maintainability65/100Current 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

593 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
#1SolitaryThinker@SolitaryThinker27339.2%Current GitHub contributor snapshot
#2jzhang38@jzhang389713.9%Current GitHub contributor snapshot
#3BrianChen1129@BrianChen1129669.5%Current GitHub contributor snapshot
#4alexzms@alexzms507.2%Current GitHub contributor snapshot
#5Eigensystem@Eigensystem466.6%Current GitHub contributor snapshot
#6Edenzzzz@Edenzzzz466.6%Current GitHub contributor snapshot
#7kevin314@kevin314436.2%Current GitHub contributor snapshot
#8Davids048@Davids048324.6%Current GitHub contributor snapshot
#9JerryZhou54@JerryZhou54243.4%Current GitHub contributor snapshot
#10H1yori233@H1yori233202.9%Current GitHub contributor snapshot
About FastVideo

What the public repository appears to contain.

A unified inference and post-training framework for accelerated video generation.

diffusersdiffusion-modelsdistillationinferencepost-trainingvideo-generation
License
Apache-2.0
Default branch
main
GitHub stars
3,879
Forks
389
Last public push
Jul 24, 2026
Repository state
Active public repository
Detected language profile12.7MB authored source
Python89.81%
TypeScript6.38%
Shell1.71%
C/C++1.29%
C++0.4%
JavaScript0.23%
CSS0.17%
HTML0.01%
Source files1,489
Test files355
Manifests6
Dependencies330
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 signal65/100

Established based on deterministic repository structure and complexity signals.

Production source2.2M tokens

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

Test evidence647.5K tokens

355 detected test files contribute separately from production code.

Configuration and infrastructure6.2K tokens

6 manifests and 0 workspace boundaries were detected.

Documentation264.7K tokens

186 documentation files remain visible as a distinct enablement signal.

Integration surface11,290 signals

330 dependency declarations and 240 public-interface signals were measured.

Repository structure8 levels deep

0 large files and 29,156 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 mesh

At least 10,000 deterministic integration signals were measured in source.

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.

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 evidence2.3MProduction, tests, configuration, and documentation
Estimated implementation output2.3MImplementation, retries, integration, and verification
Engineering oversight183.9 hoursOrientation, integration, tests, and review
Active build time23.0 daysModeled effort represented by the current source state
Evidence boundary

What this valuation includes.

CodeValuation.com counted supported authored source on commit 8d89f30d3fe6d6e9e6123114786ceb3e6508d4e8, 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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