Current repository readingScanned Jul 24, 2026, 11:55 AM UTC

FluidAudio Codebase Valuation

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

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RepoWorth
github.com/FluidInference

FluidAudio

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

RepoWorth$15,346Current measured development value · 9.5 active build days
Rebuild complexity81.469/100Profile: Complex
1.2M code tokens494 source filesSwift primary language
Scanned Jul 24, 2026Public GitHub repositorycodevaluation.com/repoworth/fluidaudio
Authored code1.2M tokens · 134,123 source lines
Complexity81.469/100 · Complex
Primary stackSwift
Scan coverage99.84% · 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
$15,346

Modeled range $12,277 to $18,416

9.5 active build days75.7 engineering hours946.2K implementation tokens
Repository evidenceMeasured at the scanned commit
1.2M tokens

134,123 source lines across 494 authored files

179 test files0 dependencies99.84% 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$15,346
Current measured reading
Measured · Jul 24, 2026Data through · Jul 24, 2026
Measurement basisCurrent readingCurrent published repository scan
Evidence coverage100%current scan
Complexity81/100Measured from code scale and structural signals
Maintainability75/100Current 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.

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
#1Alex-Wengg@Alex-Wengg28953.9%Current GitHub contributor snapshot
#2BrandonWeng@BrandonWeng19336.0%Current GitHub contributor snapshot
#3SGD2718@SGD2718183.4%Current GitHub contributor snapshot
#4Julian Pscheid@JulianPscheid71.3%Current GitHub contributor snapshot
#5smdesai@smdesai71.3%Current GitHub contributor snapshot
#6Steven-Weng@Steven-Weng50.9%Current GitHub contributor snapshot
#7panv-kw@panv-kw50.9%Current GitHub contributor snapshot
#8Beingpax@Beingpax50.9%Current GitHub contributor snapshot
#9ComicBit@ComicBit40.7%Current GitHub contributor snapshot
#10barzhomi@barzhomi30.6%Current GitHub contributor snapshot
About FluidAudio

What the public repository appears to contain.

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

aneasraudioautomatic-speech-recognitionavfoundationcoremliosmacosnvidiaparakeetreal-timespeaker-diarization
License
Apache-2.0
Default branch
main
GitHub stars
2,511
Forks
358
Last public push
Jul 23, 2026
Repository state
Active public repository
Detected language profile5.4MB authored source
Swift96.91%
C++1.29%
Python0.93%
Shell0.83%
C/C++0.03%
C0%
Source files494
Test files179
Manifests0
Dependencies0
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 signal75/100

Strong based on deterministic repository structure and complexity signals.

Production source852.9K tokens

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

Test evidence313.9K tokens

179 detected test files contribute separately from production code.

Configuration and infrastructure0 tokens

0 manifests and 0 workspace boundaries were detected.

Documentation163.3K tokens

59 documentation files remain visible as a distinct enablement signal.

Integration surface1,174 signals

0 dependency declarations and 770 public-interface signals were measured.

Repository structure7 levels deep

0 large files and 17,502 branch signals add structural context.

Excluded from authored evidence0 files

2 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

Interface builder

At least 500 deterministic public interface 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 evidence946.2KProduction, tests, configuration, and documentation
Estimated implementation output946.2KImplementation, retries, integration, and verification
Engineering oversight75.7 hoursOrientation, integration, tests, and review
Active build time9.5 daysModeled effort represented by the current source state
Evidence boundary

What this valuation includes.

CodeValuation.com counted supported authored source on commit 26104591cac7eed91b9d0d33cbeff0cfa5154862, 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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