Home/Compare/stealing-ur-feelings vs OML-1.0-Fingerprinting

Comparison

stealing-ur-feelings vs OML-1.0-Fingerprinting

Verdict

Pick stealing-ur-feelings if a deep learning-powered AR experience that analyzes facial expressions and emotions to highlight issues of privacy in emotional surveillance; pick OML-1.0-Fingerprinting if oML-1.0-Fingerprinting focuses on leveraging fingerprinting techniques for the creation of open-source, monetizable AI models that ensure user fidelity and loyalty.

Markdown twin · stealing-ur-feelings alternatives · OML-1.0-Fingerprinting alternatives

GraphCanon updated 1d

stealing-ur-feelings logo

stealing-ur-feelings

noahlevenson/stealing-ur-feelings

927pushed Apr 26, 2023
vs
OML-1.0-Fingerprinting logo

OML-1.0-Fingerprinting

sentient-agi/OML-1.0-Fingerprinting

3.5kpushed Jan 23, 2025

Trust & integrity

Signalstealing-ur-feelingsOML-1.0-Fingerprinting
Maintenance
Dormant (1192d since push)
As of 3w · github_public_v1
Dormant (577d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

stealing-ur-feelings
Deep learning-powered AR experience analyzing facial reactions
OML-1.0-Fingerprinting
OML 1.0 via Fingerprinting: Open, Monetizable, and Loyal AI

Stars

stealing-ur-feelings
927
OML-1.0-Fingerprinting
3.5k

Forks

stealing-ur-feelings
32
OML-1.0-Fingerprinting
232

Open issues

stealing-ur-feelings
13
OML-1.0-Fingerprinting
11

Language

stealing-ur-feelings
JavaScript
OML-1.0-Fingerprinting
Python

Adopt for

stealing-ur-feelings
A deep learning-powered AR experience that analyzes facial expressions and emotions to highlight issues of privacy in emotional surveillance.
OML-1.0-Fingerprinting
OML-1.0-Fingerprinting focuses on leveraging fingerprinting techniques for the creation of open-source, monetizable AI models that ensure user fidelity and loyalty.

Persona

stealing-ur-feelings
-
OML-1.0-Fingerprinting
-

Runtime

stealing-ur-feelings
-
OML-1.0-Fingerprinting
-

License

stealing-ur-feelings
-
OML-1.0-Fingerprinting
Apache-2.0

Last pushed

stealing-ur-feelings
Apr 26, 2023
OML-1.0-Fingerprinting
Jan 23, 2025

Categories

stealing-ur-feelings
Computer Vision, Speech & Audio
OML-1.0-Fingerprinting
Evaluation & Observability, Model Training

Trust and health

Days since push

stealing-ur-feelings
1192d
OML-1.0-Fingerprinting
577d

Open issues (now)

stealing-ur-feelings
13
OML-1.0-Fingerprinting
11

Stars delta

stealing-ur-feelings
Unknown
OML-1.0-Fingerprinting
-3 (30d)

Open issues delta

stealing-ur-feelings
Unknown
OML-1.0-Fingerprinting
0 (30d)

Owner type

stealing-ur-feelings
User
OML-1.0-Fingerprinting
Organization

Full report

stealing-ur-feelings
Trust report
OML-1.0-Fingerprinting
Trust report

Choose stealing-ur-feelings if…

  • stealing-ur-feelings is primarily JavaScript; OML-1.0-Fingerprinting is Python.
  • Tags unique to stealing-ur-feelings: ai, ar, art, augmented-reality.
  • Also covers Computer Vision, Speech & Audio.
  • When planning to explore the ethical implications of AI-driven emotive surveillance technology.

When NOT to use stealing-ur-feelings

  • If your project requires a robust tool for commercial facial emotion analysis without the context of privacy concerns and artistic interpretation.
  • When seeking real-time, production-grade emotional recognition software designed for user studies or market research purposes.

Choose OML-1.0-Fingerprinting if…

  • OML-1.0-Fingerprinting is primarily Python; stealing-ur-feelings is JavaScript.
  • Requirements: Min 4 GB RAM; Should be used with Python environment due to its primary language being Python..
  • Tags unique to OML-1.0-Fingerprinting: fine-tuning, fingerprint, loyalty, oml.
  • Also covers Evaluation & Observability, Model Training.
  • When aiming to establish a direct connection with end-users through unique identification (fingerprinting) for enhancing personalized interactions.

When NOT to use OML-1.0-Fingerprinting

  • If strict privacy policies and regulations prohibit the implementation of fingerprinting techniques, as this tool specifically utilizes such methods.
  • When focusing on non-loyalty-based customer relationships, considering OML-Fingerprinting is tailored for establishing loyal user bases through unique identification technologies.
  • In environments where monetization isn't a priority; if your project aims to avoid any form of pay-per-use or subscription models that this tool could support.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: stealing-ur-feelings 927 · OML-1.0-Fingerprinting 3.5k (synced Jul 31, 2026).

Common questions

What is the difference between stealing-ur-feelings and OML-1.0-Fingerprinting?
stealing-ur-feelings: Deep learning-powered AR experience analyzing facial reactions. OML-1.0-Fingerprinting: OML 1.0 via Fingerprinting: Open, Monetizable, and Loyal AI. See the comparison table for live GitHub stats and shared categories.
When should I choose stealing-ur-feelings over OML-1.0-Fingerprinting?
Choose stealing-ur-feelings over OML-1.0-Fingerprinting when stealing-ur-feelings is primarily JavaScript; OML-1.0-Fingerprinting is Python; Tags unique to stealing-ur-feelings: ai, ar, art, augmented-reality; Also covers Computer Vision, Speech & Audio; When planning to explore the ethical implications of AI-driven emotive surveillance technology.
When should I choose OML-1.0-Fingerprinting over stealing-ur-feelings?
Choose OML-1.0-Fingerprinting over stealing-ur-feelings when OML-1.0-Fingerprinting is primarily Python; stealing-ur-feelings is JavaScript; Requirements: Min 4 GB RAM; Should be used with Python environment due to its primary language being Python.; Tags unique to OML-1.0-Fingerprinting: fine-tuning, fingerprint, loyalty, oml; Also covers Evaluation & Observability, Model Training; When aiming to establish a direct connection with end-users through unique identification (fingerprinting) for enhancing personalized interactions.
When should I avoid stealing-ur-feelings?
If your project requires a robust tool for commercial facial emotion analysis without the context of privacy concerns and artistic interpretation. When seeking real-time, production-grade emotional recognition software designed for user studies or market research purposes.
When should I avoid OML-1.0-Fingerprinting?
If strict privacy policies and regulations prohibit the implementation of fingerprinting techniques, as this tool specifically utilizes such methods. When focusing on non-loyalty-based customer relationships, considering OML-Fingerprinting is tailored for establishing loyal user bases through unique identification technologies. In environments where monetization isn't a priority; if your project aims to avoid any form of pay-per-use or subscription models that this tool could support.
Is stealing-ur-feelings or OML-1.0-Fingerprinting more popular on GitHub?
OML-1.0-Fingerprinting has more GitHub stars (3,498 vs 927). Stars measure visibility, not whether either tool fits your constraints.
Are stealing-ur-feelings and OML-1.0-Fingerprinting open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to stealing-ur-feelings or OML-1.0-Fingerprinting?
GraphCanon lists graph-backed alternatives at stealing-ur-feelings alternatives and OML-1.0-Fingerprinting alternatives (stealing-ur-feelings markdown twin, OML-1.0-Fingerprinting markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, stealing-ur-feelings or OML-1.0-Fingerprinting?
stealing-ur-feelings: Dormant. OML-1.0-Fingerprinting: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for stealing-ur-feelings and OML-1.0-Fingerprinting?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stealing-ur-feelings trust report; OML-1.0-Fingerprinting trust report.

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