Regimen VS Deadpendency

• Protocol Scheduling & Reminders
  Set up any dosing schedule (daily, weekly, every few days, twice daily, as-needed) with per-compound reminders, automatic cycle on/off alerts, and inventory tracking, so you never miss a dose or run out mid-cycle.
• Reconstitution & Dosing Calculators
  Built-in calculators handle the math for peptides, oil-based compounds, and nasal sprays. Enter your vial size, BAC water, and target dose, and Regimen tells you exactly how many units to draw.
• Blood-Level (Pharmacokinetic) Modeling
  Regimen models estimated blood levels for 150+ compounds using published half-life data, so you can see peak, trough, and steady-state across a full year of history instead of guessing where you are in a cycle.
• Health & Lab Correlation
  Sync weight, body fat, resting heart rate, sleep, and blood pressure from Apple Health or Google Health Connect, log your bloodwork and 50+ daily check-in markers, and see every metric plotted against your dose history.
• Pattern Detection (Signals)
  Regimen's purpose-built engine connects your doses to your markers, labs, and health metrics and surfaces what is actually working, what isn't, and what may be driving a side effect. It learns your history, so each cycle is measured against your own baseline.

• Automated Dependency Monitoring
  Deadpendency automatically checks your project's dependencies for signs of being dead, unmaintained, or deprecated, saving developers from manually tracking the health of each dependency.
• GitHub Integration
  Deadpendency integrates directly with GitHub as a GitHub App, making it easy to set up and run as part of your existing pull request and CI workflow without requiring additional infrastructure.
• Early Warning System
  By catching dead or unmaintained dependencies early, Deadpendency helps teams avoid security risks and technical debt that come from relying on abandoned libraries.
• Multi-Language Support
  Deadpendency supports a wide range of programming languages and package ecosystems, making it useful for polyglot projects and diverse development teams.
• Low Configuration Overhead
  The tool is designed to work out of the box with minimal configuration, allowing teams to get value quickly without spending significant time on setup and customization.

Possible disadvantages

• Limited to GitHub
  Deadpendency is primarily a GitHub App, which means teams using other platforms like GitLab or Bitbucket cannot easily use the service without switching or mirroring their repositories.
• Potential False Positives
  The tool may flag dependencies as dead or unmaintained based on activity metrics, even when a library is stable and simply mature, leading to unnecessary concern or migration efforts.
• Niche Use Case
  Dependency health checking is a relatively narrow function. Teams may prefer more comprehensive dependency management tools that also handle vulnerability scanning, license compliance, and version updates in one solution.
• Reliance on External Signals
  Deadpendency relies on external signals like repository activity and release frequency to determine dependency health, which may not always accurately reflect the true maintenance status of a project.
• Limited Community and Ecosystem
  As a relatively niche tool, Deadpendency has a smaller user community compared to alternatives like Dependabot or Renovate, which can mean fewer resources, community support, and third-party integrations.

Tracking Regimen since Feb 2026.

• Deadpendency Open Sourced

  I created a tiny startup in Haskell which failed RIP. I decided to open source the code though. Source: over 3 years ago

• Twitch Streamers?

  I sometimes stream my Haskell work on deadpendency - https://www.twitch.tv/alistairbuzz. Source: over 5 years ago