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AStevensTaylor

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active 2023-08-16 → 2026-04-28 (UTC) · 463 repositories

Complete coverage26,439 / 26,439 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-20 (UTC)
Events
818
Pushes
385
Pull requests
20
Issues
29
Reviews
13
Repositories
463

Activity over time

Daily event counts in the loaded window

Line chart, 987 days from 2023-08-16 to 2026-04-28. Pushes: 387 total, peak 107 in a day. Pull requests: 20 total, peak 8 in a day. Issues: 29 total, peak 9 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
AStevensTaylor/image-tools9137328152026-01-30
PacktDev/html-transformer281810002025-03-05
PacktDev/anything-llm21123012024-05-13
PacktPublishing/Implementing-and-Administering-Cisco-Solutions19190002025-05-05
AStevensTaylor/nix13130002024-04-07
PacktPublishing/Microsoft-Intune-Cookbook990002025-01-24
PacktPublishing/Oracle-Linux-Cookbook770002025-01-24
Mintplex-Labs/anything-llm503112024-01-12
PacktPublishing/Practical-Machine-Learning-on-Databricks550002025-05-09
PacktPublishing/Learn-Grafana-10550002025-05-09
PacktPublishing/Developing-Kaggle-Notebooks550002025-05-09
PacktPublishing/Learning-Geospatial-Analysis-with-Python-Fourth-Edition550002025-05-09
PacktPublishing/HashiCorp-Packer-in-Production550002025-01-24
PacktPublishing/Blender-Lighting-Compositing-for-Beginners431002024-03-15
PacktPublishing/Machine-Learning-for-Imbalanced-Data440002025-01-24
PacktPublishing/Applied-Computational-Thinking-with-Python-Second-Edition440002025-01-24
PacktPublishing/Data-Observability-for-Data-Engineering440002025-01-24
PacktPublishing/Fedora-Linux-System-Administration440002025-01-24
PacktPublishing/Security-Orchestration-Automation-and-Response-for-Security-Analysts440002025-01-24
PacktPublishing/Designing-and-Implementing-Microsoft-Azure-Networking-Solutions440002025-05-05
PacktPublishing/Observability-with-Grafana440002025-01-24
AStevensTaylor/how-to-recorder420022026-01-29
PacktPublishing/Vector-Search-for-Practitioners-with-Elastic440002025-01-24
PacktPublishing/The-Deep-Learning-Architect-Handbook440002025-01-24
PacktPublishing/TinyML-Cookbook_2E440002025-05-09
PacktPublishing/The-Definitive-Guide-to-Google-Vertex-AI440002025-05-09
PacktPublishing/Modern-DevOps-Practices-2e440002025-01-24
PacktPublishing/Tableau-Certified-Data-Analyst-Certification-Guide440002025-05-09
PacktPublishing/Architecting-AWS-with-Terraform440002025-01-24
PacktPublishing/Python-Deep-Learning-Third-Edition440002025-01-24
PacktPublishing/Machine-Learning-Security-With-Azure440002025-01-24
AStevensTaylor/findroid330002024-10-20
AStevensTaylor/GraphQLer330002026-04-28
PacktPublishing/Data-Science-for-Web3330002025-01-21
PacktPublishing/Building-Low-Latency-Applications-with-CPP330002025-05-09
PacktPublishing/Building-Statistical-Models-in-Python330002025-05-09
PacktPublishing/Data-Wrangling-with-SQL330002025-05-09
PacktPublishing/Containers-for-Developers-Handbook330002025-01-24
PacktPublishing/The-Linux-DevOps-Handbook330002025-01-24
PacktPublishing/Building-Data-Science-Applications-with-FastAPI-Second-Edition330002025-05-09
PacktPublishing/Data-Quality-in-Practice330002025-05-09
PacktPublishing/AWS-DevOps-Simplified220002025-01-24
PacktPublishing/Machine-Learning-for-Emotion-Analysis220002025-01-24
PacktPublishing/Network-Automation-with-Nautobot220002025-05-05
PacktPublishing/Terraform-Cookbook-Second-Edition220002025-01-24
PacktPublishing/Modern-Network-Observability220002025-05-05
PacktPublishing/Debugging-Machine-Learning-Models-with-Python220002025-01-24
PacktPublishing/Google-Cloud-Associate-Cloud-Engineer-Certification-and-Implementation-Guide220002025-01-24
PacktPublishing/Serverless-Machine-Learning-with-Amazon-Redshift220002025-01-24
PacktPublishing/Linux-for-Networking-Professionals220002025-05-05

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
Karanspackt113
PacktPublishing/A-Handbook-of-Mathematical-Models-with-PythonPacktPublishing/Learning-Geospatial-Analysis-with-Python-Fourth-EditionPacktPublishing/The-Regularization-CookbookPacktPublishing/Biostatistics-with-Python+109
al3xdm44
PacktPublishing/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-DashPacktPublishing/Data-Analytics-Made-EasyPacktPublishing/Data-Science-for-Marketing-Analytics-Second-EditionPacktPublishing/Serverless-Machine-Learning-with-Amazon-Redshift+40
Packt-ITService31
PacktPublishing/Applied-Geospatial-Data-Science-with-PythonPacktPublishing/Modern-Time-Series-Forecasting-with-PythonPacktPublishing/Learning-Tableau-2022PacktPublishing/A-Handbook-of-Mathematical-Models-with-Python+27
rahul-packt21
PacktPublishing/Kibana-8.x-A-Quick-Start-Guide-to-Data-AnalysisPacktPublishing/Extending-Excel-with-Python-and-RPacktPublishing/Serverless-Machine-Learning-with-Amazon-RedshiftPacktPublishing/Biostatistics-with-Python+17
nithikpackt8
PacktPublishing/Network-Automation-with-NautobotPacktPublishing/Modern-Network-ObservabilityPacktPublishing/Blender-Lighting-Compositing-for-BeginnersPacktPublishing/Implementing-and-Administering-Cisco-Solutions+4
utkarsha-Packt8
PacktPublishing/Vector-Search-for-Practitioners-with-ElasticPacktPublishing/A-Handbook-of-Mathematical-Models-with-PythonPacktPublishing/Alteryx-Designer-CookbookPacktPublishing/Learning-Geospatial-Analysis-with-Python-Fourth-Edition+4
Packt-Kavyashreek7
PacktPublishing/Learn-Microsoft-FabricPacktPublishing/Databricks-ML-In-ActionPacktPublishing/Microsoft-Power-BI-Performance-Best-Practices-Second-EditionPacktPublishing/Practical-Machine-Learning-on-Databricks+3
seemanjay-packt6
PacktPublishing/Applied-Deep-Learning-on-GraphsPacktPublishing/Deep-Reinforcement-Learning-Hands-On-Third-EditionPacktPublishing/Hands-On-Graph-Neural-Networks-Using-PythonPacktPublishing/Causal-Inference-in-R+2
ArjunVarma395
PacktPublishing/Fedora-Linux-System-AdministrationPacktPublishing/Modern-Time-Series-Forecasting-with-PythonPacktPublishing/Mobile-DevOps-PlaybookPacktPublishing/A-Developer-s-Guide-to-.NET-in-Azure+1
SweetyPagaria5
PacktPublishing/Data-Quality-in-PracticePacktPublishing/Debugging-Machine-Learning-Models-with-PythonPacktPublishing/XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-AnalysisPacktPublishing/In-Memory-Analytics-with-Apache-Arrow-Second-Edition+1
rajat-packt5
PacktPublishing/Oracle-Linux-CookbookPacktPublishing/Practical-Ansible-Second-EditionPacktPublishing/Zabbix-7-IT-Infrastructure-Monitoring-CookbookPacktPublishing/Google-Cloud-Associate-Cloud-Engineer-Certification-and-Implementation-Guide+1
Sonawane-Karan264
PacktPublishing/Python-Data-Cleaning-Cookbook-Second-EditionPacktPublishing/Mastering-Tableau-2023-Fourth-EditionPacktPublishing/Learning-Tableau-2022PacktPublishing/Modern-Time-Series-Forecasting-with-Python-2E
kushal4994
PacktPublishing/Terraform-Cookbook-Second-EditionPacktPublishing/Software-Architecture-with-C-Sharp-12-and-.NET-8-4EPacktPublishing/Deep-Reinforcement-Learning-Hands-On-Third-EditionPacktPublishing/The-Definitive-Guide-to-Power-Query-M-
packt-irfaa4
PacktPublishing/Network-Automation-with-GoPacktPublishing/Architecting-AWS-with-TerraformPacktPublishing/Google-Cloud-Associate-Cloud-Engineer-Certification-and-Implementation-GuidePacktPublishing/Microsoft-Azure-AI-Fundamentals-AI-900-Exam-Guide
yashpackt4
PacktPublishing/Modern-Time-Series-Forecasting-with-PythonPacktPublishing/AWS-DevOps-SimplifiedPacktPublishing/Microsoft-Intune-CookbookPacktPublishing/Data-Cleaning-with-Power-BI
gdeckler3
PacktPublishing/Power-BI-Cookbook-Third-EditionPacktPublishing/Learn-Power-BI-second-editionPacktPublishing/The-Definitive-Guide-to-Power-Query-M-
raajpackt3
PacktPublishing/Debugging-Machine-Learning-Models-with-PythonPacktPublishing/Microsoft-Intune-CookbookPacktPublishing/Python-Deep-Learning-Third-Edition
rohitpackt3
PacktPublishing/Learn-Microsoft-FabricPacktPublishing/Learning-Geospatial-Analysis-with-Python-Fourth-EditionPacktPublishing/Data-Cleaning-with-Power-BI
Jubit-packt2
PacktPublishing/Data-Science-with-.NET-and-Polyglot-NotebooksPacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python
Slepetys2
PacktPublishing/Causal-Inference-and-Discovery-in-PythonPacktPublishing/Interpretable-Machine-Learning-with-Python-2E
anj03itha2
PacktPublishing/Machine-Learning-Engineering-with-Python-Second-EditionPacktPublishing/Interpretable-Machine-Learning-with-Python-2E
anu662
PacktPublishing/Web-Development-with-Blazor-Third-EditionPacktPublishing/TinyML-Cookbook_2E
manujosephv2
PacktPublishing/Modern-Time-Series-Forecasting-with-PythonPacktPublishing/Modern-Time-Series-Forecasting-with-Python-2E
mmoorepackt2
PacktDev/anything-llmMintplex-Labs/anything-llm
packtanjitha2
PacktPublishing/Interpretable-Machine-Learning-with-Python-2EPacktPublishing/The-Machine-Learning-Solutions-Architect-and-Risk-Management-Handbook-Second-Edition

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