fingerprintjs/fingerprint-pro-server-api-openapi
Mar 2026 – Mar 2026
1 Month active
Languages Used
YAML
Technical Skills
API DevelopmentMachine Learning IntegrationSchema Design
maurafortino-fingerprint
PROFILE
Maurafortino-fingerprint
Maura Fortino enhanced the fingerprintjs/fingerprint-pro-server-api-openapi repository by introducing a machine learning-based confidence score, mlScore, to the Virtual Machine object in the v3 API. This feature enables clients to make more informed, risk-based decisions by leveraging ML insights for virtual machine detection. Maura focused on API development and schema design, ensuring the new field was integrated in a backward-compatible manner using YAML, so existing client integrations remained unaffected. The work demonstrated careful change management and traceability, with explicit commit references for reproducibility. No bugs were reported or fixed, reflecting a stable release and a targeted, well-scoped engineering effort.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
32
Activity Months1
Your Network
23 peopleSame Organization
@fingerprint.com8
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for fingerprint-pro-server-api-openapi: focused feature delivery and API model enhancement with minimal disruption. Added ML-based confidence score (mlScore) to the Virtual Machine object for VM detection in the v3 API, enabling improved risk-based decisions for clients. No public bug fixes reported this month; core stability maintained.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for fingerprint-pro-server-api-openapi: focused feature delivery and API model enhancement with minimal disruption. Added ML-based confidence score (mlScore) to the Virtual Machine object for VM detection in the v3 API, enabling improved risk-based decisions for clients. No public bug fixes reported this month; core stability maintained.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
API DevelopmentMachine Learning IntegrationSchema Design
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