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active 2023-08-25 → 2026-01-29 (UTC) · 272 repositories

Complete coverage27,356 / 27,356 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-27 (UTC)
Events
329
Pushes
148
Pull requests
0
Issues
0
Reviews
0
Repositories
272

Activity over time

Daily event counts in the loaded window

Line chart, 889 days from 2023-08-25 to 2026-01-29. Pushes: 148 total, peak 136 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues

Pull requests and issues are under-captured in the later part of this window. GH Archive progressively stopped recording non-push events during 2026 — −95% or worse by the end of the window. A decline in those two series reflects the archive rather than this account. Pushes stay reliable throughout, so read them as the real signal. Data health has the measurements.

Repositories worked on

Ranked by contributions — pushes, PRs, issues, reviews and comments, so stars and forks do not inflate the list · top 50

RepositoryContributionsPushesPRsIssuesCommentsLast seen
PacktPublishing/Debugging-Machine-Learning-Models-with-Python29290002023-09-20
PacktPublishing/Learning-Data-Mining-with-Python13130002023-09-20
PacktPublishing/A-Handbook-of-Mathematical-Models-with-Python110002023-09-20
PacktPublishing/A-Definitive-Guide-to-Apache-ShardingSphere110002023-09-20
PacktPublishing/Hands-On-Simulation-Modeling-with-Python-Second-Edition110002023-09-20
PacktPublishing/Comet-for-Data-Science110002023-09-20
PacktPublishing/Machine-Learning-Model-Serving-Patterns-and-Best-Practices110002023-09-20
PacktPublishing/Data-Forecasting-and-Segmentation-Using-Microsoft-Excel110002023-09-20
PacktPublishing/Intelligent-Document-Processing-with-AWS-AI-ML-110002023-09-20
PacktPublishing/Modern-Time-Series-Forecasting-with-Python110002023-09-20
PacktPublishing/Developing-Robust-Date-and-Time-Oriented-Applications-in-Oracle-Cloud110002023-09-20
PacktPublishing/Automated-Machine-Learning-on-AWS110002023-09-20
PacktPublishing/Solidity-Programming-Essentials-Second-Edition110002023-09-20
PacktPublishing/SQL-Query-Design-Best-Practices110002023-09-20
PacktPublishing/The-Art-of-Data-Driven-Business-Decisions110002023-09-20
PacktPublishing/Hands-On-Computer-Vision-with-Detectron2110002023-09-20
PacktPublishing/Building-Data-Science-Applications-with-FastAPI-Second-Edition110002023-09-20
PacktPublishing/Mastering-MongoDB-6.x110002023-09-20
PacktPublishing/Practical-Automated-Machine-Learning-on-H2O110002023-09-20
PacktPublishing/Expert-Data-Modeling-with-Power-BI-Second-Edition110002023-09-20
PacktPublishing/Learning-Tableau-2022110002023-09-20
PacktPublishing/Data-Engineering-with-Alteryx110002023-09-20
PacktPublishing/Microsoft-Power-BI-Performance-Best-Practices110002023-09-20
PacktPublishing/Data-Democratization-with-Domo110002023-09-20
PacktPublishing/Mastering-Blockchain-Fourth-Edition110002023-09-20
PacktPublishing/Hands-On-Financial-Modeling-with-Excel-for-Microsoft-365110002023-09-20
PacktPublishing/TinyML-Cookbook110002023-09-20
PacktPublishing/Scalable-Data-Architecture-with-Java110002023-09-20
PacktPublishing/Python-Feature-Engineering-Cookbook-Second-Edition110002023-09-20
PacktPublishing/-Mastering-Microsoft-Power-BI-Second-Edition110002023-09-20
PacktPublishing/Active-Directory-Administration-Cookbook-Second-Edition110002023-09-20
PacktPublishing/Azure-Data-Engineering-Cookbook-2nd-edition110002023-09-20
PacktPublishing/Serverless-ETL-and-Analytics-with-AWS-Glue110002023-09-20
PacktPublishing/The-Regularization-Cookbook110002023-09-20
PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow110002023-09-20
PacktPublishing/Building-Data-Science-Solutions-with-Anaconda110002023-09-20
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python110002023-09-20
PacktPublishing/Federated-Learning-with-Python110002023-09-20
PacktPublishing/Natural-Language-Understanding-with-Python110002023-09-20
PacktPublishing/Azure-Synapse-Analytics-cookbook110002023-09-20
PacktPublishing/Machine-Learning-at-Scale-with-H2O110002023-09-20
PacktPublishing/Data-engineering-with-dbt110002023-09-20
PacktPublishing/Democratizing-Artificial-Intelligence-with-UiPath110002023-09-20
PacktPublishing/Time-Series-Indexing110002023-09-20
PacktPublishing/Artificial-Intelligence-with-Power-BI110002023-09-20
PacktPublishing/Data-Analytics-Using-Splunk-9.x110002023-09-20
PacktPublishing/Enhancing-Deep-Learning-with-Bayesian-Inference110002023-09-20
PacktPublishing/Production-Ready-Applied-Deep-Learning110002023-09-20
PacktPublishing/Serverless-Machine-Learning-with-Amazon-Redshift110002023-09-20
PacktPublishing/Deep-Learning-with-PyTorch-Lightning110002023-09-20

Works with

People who contribute to the same repositories, ranked by how many they share · automation excluded, or every account would appear to work with everyone

ContributorShared reposRepositories in common
Karanspackt76
al3xdm32
AStevensTaylor31
rahul-packt5
rajat-packt4
Jubit-packt2
Packt-Kavyashreek2
andysingal2
raajpackt2
seemanjay-packt2
zoldaten2
10bitcoin1
2nazero1
AbelMarnk1
AhmedGillani1
AlxndrMlk1
AndreasJHeix1
AnghelLeonard1
AnthonyHarvey88671
ArjunVarma391
Arunpowerbi1
AuliaNajla1
BartvanWoesik1
BrotherV1
Cathrineee1

Counts cover only the window loaded into ClickHouse and count events, not this account's lifetime totals on GitHub.