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active 2023-08-25 → 2026-01-29 (UTC) · 198 repositories

Partial coverage20,514 / 26,270 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-15 → 2026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
244
Pushes
148
Pull requests
0
Issues
0
Reviews
0
Repositories
198

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/Learn-Ethereum-Second-Edition110002023-09-20
PacktPublishing/Graph-Data-Modeling-in-Python110002023-09-20
PacktPublishing/Data-Storytelling-with-Google-Data-Studio110002023-09-20
PacktPublishing/Machine-Learning-Security-Principles110002023-09-20
PacktPublishing/Oracle-Autonomous-Database-in-Enterprise-Architecture110002023-09-20
PacktPublishing/Intelligent-Document-Processing-with-AWS-AI-ML-110002023-09-20
PacktPublishing/Deep-Learning-with-TensorFlow-and-Keras-3rd-edition110002023-09-20
PacktPublishing/The-Kaggle-Book110002023-09-20
PacktPublishing/In-Memory-Analytics-with-Apache-Arrow-110002023-09-20
PacktPublishing/Exploratory-Data-Analysis-with-Python-Cookbook110002023-09-20
PacktPublishing/Splunk-9.x-Enterprise-Certified-Admin-Guide110002023-09-20
PacktPublishing/Feature-Store-for-Machine-Learning110002023-09-20
PacktPublishing/Applied-Geospatial-Data-Science-with-Python110002023-09-20
PacktPublishing/Cypher-Querying110002023-09-20
PacktPublishing/Codeless-Time-Series-Analysis-with-KNIME110002023-09-20
PacktPublishing/Principles-of-Data-Fabric110002023-09-20
PacktPublishing/Azure-Machine-Learning-Engineering110002023-09-20
PacktPublishing/Data-Engineering-with-Google-Cloud-Platform110002023-09-20
PacktPublishing/Applied-Machine-Learning-Explainability-Techniques110002023-09-20
PacktPublishing/3D-Deep-Learning-with-Python110002023-09-20
PacktPublishing/Mastering-Azure-Machine-Learning-Second-Edition110002023-09-20
PacktPublishing/A-Definitive-Guide-to-Apache-ShardingSphere110002023-09-20
PacktPublishing/Python-for-Finance-Cookbook-2E110002023-09-20
PacktPublishing/Enhancing-Deep-Learning-with-Bayesian-Inference110002023-09-20
PacktPublishing/Time-Series-Indexing110002023-09-20
PacktPublishing/Democratizing-Artificial-Intelligence-with-UiPath110002023-09-20
PacktPublishing/Exploring-Deepfakes110002023-09-20
PacktPublishing/Data-engineering-with-dbt110002023-09-20
PacktPublishing/Serverless-ETL-and-Analytics-with-AWS-Glue110002023-09-20
PacktPublishing/Machine-Learning-for-Streaming-Data-with-Python110002023-09-20
PacktPublishing/jOOQ-Masterclass110002023-09-20
PacktPublishing/Hyperparameter-Tuning-with-Python110002023-09-20
PacktPublishing/Machine-Learning-at-Scale-with-H2O110002023-09-20
PacktPublishing/Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker110002023-09-20
PacktPublishing/Neural-Search-From-Prototype-to-Production-with-Jina110002023-09-20
PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow110002023-09-20
PacktPublishing/Building-Data-Science-Solutions-with-Anaconda110002023-09-20
PacktPublishing/Microsoft-Power-BI-Quick-Start-Guide-Third-Edition110002023-09-20
PacktPublishing/Neuro-Symbolic-AI110002023-09-20
PacktPublishing/Simplifying-Data-Engineering-and-Analytics-with-Delta110002023-09-20
PacktPublishing/The-Regularization-Cookbook110002023-09-20
PacktPublishing/Causal-Inference-and-Discovery-in-Python110002023-09-20
PacktPublishing/Applying-Math-with-Python-2nd-Edition110002023-09-20
PacktPublishing/Business-Intelligence-with-Databricks-SQL-Analytics110002023-09-20
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python110002023-09-20
PacktPublishing/Azure-Synapse-Analytics-cookbook110002023-09-20
PacktPublishing/Data-Wrangling-on-AWS110002023-09-20

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
PacktPublishing/Data-Wrangling-on-AWSPacktPublishing/Intelligent-Document-Processing-with-AWS-AI-ML-PacktPublishing/A-Handbook-of-Mathematical-Models-with-PythonPacktPublishing/Serverless-ETL-and-Analytics-with-AWS-Glue+72
al3xdm32
PacktPublishing/Serverless-Machine-Learning-with-Amazon-RedshiftPacktPublishing/Exploratory-Data-Analysis-with-Python-CookbookPacktPublishing/Machine-Learning-for-Streaming-Data-with-PythonPacktPublishing/jOOQ-Masterclass+28
AStevensTaylor8
PacktPublishing/Business-Intelligence-Career-Master-PlanPacktPublishing/Building-Data-Science-Applications-with-FastAPI-Second-EditionPacktPublishing/Building-Statistical-Models-in-PythonPacktPublishing/A-Handbook-of-Mathematical-Models-with-Python+4
rahul-packt5
PacktPublishing/Building-Statistical-Models-in-PythonPacktPublishing/Causal-Inference-and-Discovery-in-PythonPacktPublishing/Serverless-Machine-Learning-with-Amazon-RedshiftPacktPublishing/Pretrain-Vision-and-Large-Language-Models-in-Python+1
Packt-Kavyashreek2
PacktPublishing/Splunk-9.x-Enterprise-Certified-Admin-GuidePacktPublishing/Business-Intelligence-Career-Master-Plan
raajpackt2
PacktPublishing/Debugging-Machine-Learning-Models-with-PythonPacktPublishing/Learning-Data-Mining-with-Python
rajat-packt2
PacktPublishing/Machine-Learning-on-KubernetesPacktPublishing/Distributed-Machine-Learning-with-Python
10bitcoin1
PacktPublishing/Applied-Geospatial-Data-Science-with-Python
AbelMarnk1
PacktPublishing/Learn-Ethereum-Second-Edition
AhmedGillani1
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
AlxndrMlk1
PacktPublishing/Causal-Inference-and-Discovery-in-Python
AndreasJHeix1
PacktPublishing/Modern-Time-Series-Forecasting-with-Python
AnghelLeonard1
PacktPublishing/jOOQ-Masterclass
AnthonyHarvey88671
PacktPublishing/Learn-Ethereum-Second-Edition
Arunpowerbi1
PacktPublishing/Expert-Data-Modeling-with-Power-BI-Second-Edition
BrotherV1
PacktPublishing/TinyML-Cookbook
Cathrineee1
PacktPublishing/Causal-Inference-and-Discovery-in-Python
DanCard1
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python
DrBBQ1
PacktPublishing/Enhancing-Deep-Learning-with-Bayesian-Inference
GawainGan1
PacktPublishing/Causal-Inference-and-Discovery-in-Python
HectorLira1
PacktPublishing/The-Kaggle-Book
HipsterBrown1
PacktPublishing/TinyML-Cookbook
JakeLeeKorea1
PacktPublishing/Causal-Inference-and-Discovery-in-Python
John-outlook1
PacktPublishing/Python-for-Finance-Cookbook-2E
Jubit-packt1
PacktPublishing/10-Machine-Learning-Blueprints-You-Should-Know-for-Cybersecurity

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