Compare projects
Select 2–4 projects to compare on the same basis.
Only identical known values are hidden. Unknown information remains visible.
WIntrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Ccommunity-id-spec
An open standard for hashing network flows into identifiers, a.k.a "Community IDs".
Popularity
Repository stars601Highest198
7-day net stars——
Fork162Highest26
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-04-012024-09-23
Maintenance notesNot verifiedNot verified
Repository created2021-05-252018-02-01
License & use
LicenseMIT · PermissiveBSD-3-Clause · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeNetwork securityNetwork security
TypeApps & systemsApps & systems
SubcategoryDeveloper toolsDeveloper tools
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookPython
About this projectCode for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)An open standard for hashing network flows into identifiers, a.k.a "Community IDs".
RepositoryWestern-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learningcorelight / community-id-spec
Measured at2026-11-02 19:02 UTC2026-11-02 19:02 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.