https://github.com/daniel-furman/surfcrowds.ai

A dash web-app for forecasting the surf crowd size at First Point, Malibu.

https://github.com/daniel-furman/surfcrowds.ai

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A dash web-app for forecasting the surf crowd size at First Point, Malibu.

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 4 years ago · Last pushed over 4 years ago
Metadata Files
Readme License

README.md

surfcrowds.ai


Forecasting crowd size at First Point, Malibu (@9:00 am). The app uses Random Forest & Gradient Boosting ensemble regression running as an AWS Lambda function and is aimed at equipping my hometown surf community with new types of AI-driven forecasts.

assets/firstpoint.jpg

Owner

  • Name: Daniel Furman
  • Login: daniel-furman
  • Kind: user
  • Location: San Francisco
  • Company: @twosixcapital

Master’s student, UC Berkeley School of Information. University of Pennsylvania alum. DS @twosixcapital. Prev MLE @understory.ai.

GitHub Events

Total
Last Year

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 9
  • Total Committers: 1
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Daniel Furman d****n@g****m 9

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • Brotli ==1.0.9
  • Flask ==2.0.1
  • Flask-Compress ==1.10.1
  • Jinja2 ==3.0.1
  • MarkupSafe ==2.0.1
  • Werkzeug ==2.0.1
  • certifi ==2021.5.30
  • charset-normalizer ==2.0.6
  • click ==8.0.1
  • dash ==2.0.0
  • dash-core-components ==2.0.0
  • dash-html-components ==2.0.0
  • dash-table ==5.0.0
  • dataclasses ==0.6
  • gunicorn ==20.1.0
  • idna ==3.2
  • importlib-metadata ==4.8.1
  • itsdangerous ==2.0.1
  • plotly ==5.3.1
  • regex ==2021.9.30
  • requests ==2.26.0
  • six ==1.16.0
  • tenacity ==8.0.1
  • typing-extensions ==3.10.0.2
  • urllib3 ==1.26.7
  • zipp ==3.6.0