Feature/enhance handbook

README.md

@@ -8,7 +8,7 @@
 
 ## Who this is for
 
-Open Source Handbook is a resource for people of **all skill and experience levels** who want to learn about open source and save time finding projects!
+Open Source Handbook is a comprehensive resource for people of **all skill and experience levels** who want to learn about open source, contribute to meaningful projects, and save time finding the right repositories to get started with!
 
 ## Intro
 
@@ -35,6 +35,9 @@ Open Source Handbook is a resource for people of **all skill and experience leve
     - [Beginner projects](https://github.com/showcases/great-for-new-contributors)
     - [Beginner projects (more!)](https://github.com/MunGell/awesome-for-beginners)
     - [Searching GitHub](https://help.github.com/articles/finding-open-source-projects-on-github/)
+    - [First Timers Only](https://www.firsttimersonly.com/) - Friendly open source projects for new contributors
+    - [Good First Issues](https://goodfirstissues.com/) - Find projects with good first issues
+    - [CodeTriage](https://www.codetriage.com/) - Help your favorite open source projects
 
 ## Collections
 
@@ -48,6 +51,8 @@ Open Source Handbook is a resource for people of **all skill and experience leve
   - [Audio visualization](https://github.com/willianjusten/awesome-audio-visualization)
   - [Big data](categories/big-data.md)
     - [Datasets](https://github.com/awesomedata/awesome-public-datasets/blob/master/README.rst)
+  - [Cloud Native & DevOps](categories/cloud-native.md)
+  - [Data Science & Machine Learning](categories/data-science.md)
   - [Frameworks](https://github.com/topics/framework)
   - [Gaming](https://gist.github.com/roachhd/d579b58148d7e36a6b72)
   - [iOS development](https://github.com/dkhamsing/open-source-ios-apps/blob/master/APPSTORE.md#apple-watch)
@@ -60,6 +65,10 @@ Open Source Handbook is a resource for people of **all skill and experience leve
   - Web development
     - [Front-end tools and resources](https://github.com/MilanAryal/web-development-resources)
     - [GitHub Pages](categories/github-pages.md)
+    - [Node.js](https://github.com/nodejs/node) - JavaScript runtime built on Chrome's V8 engine
+    - [React](https://github.com/facebook/react) - JavaScript library for building user interfaces
+    - [Vue.js](https://github.com/vuejs/vue) - Progressive JavaScript framework
+    - [Angular](https://github.com/angular/angular) - Platform for building mobile and desktop web applications
 
 [return to top](README.md)
 
@@ -100,16 +109,38 @@ Open Source Handbook is a resource for people of **all skill and experience leve
   - [All Languages](https://github.com/trending)
   - [C++](https://github.com/trending/c++)
   - [CSS](https://github.com/trending/css)
+  - [Go](https://github.com/trending/go)
   - [HTML](https://github.com/trending/html)
+  - [Java](https://github.com/trending/java)
   - [JavaScript](https://github.com/trending/javascript)
   - [Python](https://github.com/trending/python)
   - [Ruby](https://github.com/trending/ruby)
+  - [Rust](https://github.com/trending/rust)
   - [Swift 📱](https://github.com/trending/swift)
+  - [TypeScript](https://github.com/trending/typescript)
   - [Unknown languages](https://github.com/trending/unknown)
 
+## Quick Start Guide for New Contributors
+
+### 🚀 Your First Contribution in 5 Steps
+1. **Find a project** - Use [Good First Issues](https://goodfirstissues.com/) or browse our categories
+2. **Read the docs** - Check README.md and CONTRIBUTING.md files
+3. **Set up locally** - Fork, clone, and follow setup instructions
+4. **Make your change** - Start small with documentation or bug fixes
+5. **Submit a PR** - Follow the project's contribution guidelines
+
+### 💡 Pro Tips for Success
+- **Start small** - Documentation improvements and bug fixes are great first contributions
+- **Be patient** - Maintainers are volunteers; reviews may take time
+- **Ask questions** - Use issues or discussions to clarify requirements
+- **Follow conventions** - Match the project's coding style and commit message format
+
 ## Open Source Internships, Competitions, and Careers
 
   - [Internships and Competitions](https://github.com/tapaswenipathak/Open-Source-Programs)
+  - [Google Summer of Code](https://summerofcode.withgoogle.com/) - Annual program for students
+  - [Outreachy](https://www.outreachy.org/) - Internships for underrepresented groups
+  - [MLH Fellowship](https://fellowship.mlh.io/) - Remote internship program
   - [Careers](https://github.com/t9tio/open-source-jobs)
 
 [return to top](README.md)
@@ -125,5 +156,6 @@ We would love for you to contribute! Please [fork and make a pull request](https
 ## Maintainers
 
 - [Shaina Krumme](https://github.com/shainakrumme)
+- [Siva Murthy](https://github.com/sivamurthy30)
 
 [return to top](README.md)

categories/big-data.md

@@ -1,14 +1,71 @@
 <h1 align="center"><a href="../README.md">Open Source Handbook</a></h1>
 <h3 align="center">Big Data Projects</h3>
 
-  - [Apache Crunch](https://github.com/apache/crunch)
-  - [Apache Hadoop](https://github.com/apache/hadoop)
-  - [Apache Kafka](https://github.com/apache/kafka)
-  - [Apache Samoa](https://github.com/apache/incubator-samoa)
-  - [Apache Storm](https://github.com/apache/storm)
-  - [Elasticsearch](https://github.com/elastic/elasticsearch)
-  - [HPCC Systems](https://github.com/hpcc-systems/HPCC-Platform)
-  - [Lumify](https://github.com/lumifyio/lumify)
-  - [MongoDB](https://github.com/mongodb)
-  - [RapidMiner](https://github.com/rapidminer)
-  - [Talend Open Studio for Big Data](https://github.com/Talend)
+## Data Processing & Analytics
+
+### Stream Processing
+- [Apache Kafka](https://github.com/apache/kafka) - Distributed streaming platform for building real-time data pipelines
+- [Apache Storm](https://github.com/apache/storm) - Real-time computation system for processing streams of data
+- [Apache Flink](https://github.com/apache/flink) - Stream processing framework for distributed, high-performing data streaming applications
+- [Apache Pulsar](https://github.com/apache/pulsar) - Cloud-native, distributed messaging and streaming platform
+
+### Batch Processing
+- [Apache Hadoop](https://github.com/apache/hadoop) - Framework for distributed storage and processing of large datasets
+- [Apache Spark](https://github.com/apache/spark) - Unified analytics engine for large-scale data processing
+- [Apache Crunch](https://github.com/apache/crunch) - Java library for writing MapReduce pipelines
+- [Apache Samoa](https://github.com/apache/incubator-samoa) - Distributed streaming machine learning framework
+
+## Data Storage & Databases
+
+### NoSQL Databases
+- [MongoDB](https://github.com/mongodb/mongo) - Document-oriented NoSQL database
+- [Apache Cassandra](https://github.com/apache/cassandra) - Highly scalable distributed NoSQL database
+- [Redis](https://github.com/redis/redis) - In-memory data structure store
+- [ClickHouse](https://github.com/ClickHouse/ClickHouse) - Column-oriented database for analytics
+
+### Search & Analytics
+- [Elasticsearch](https://github.com/elastic/elasticsearch) - Distributed search and analytics engine
+- [Apache Solr](https://github.com/apache/solr) - Enterprise search platform
+- [OpenSearch](https://github.com/opensearch-project/OpenSearch) - Community-driven search and analytics suite
+
+## Data Tools & Platforms
+
+### Workflow Management
+- [Apache Airflow](https://github.com/apache/airflow) - Platform for developing, scheduling, and monitoring workflows
+- [Prefect](https://github.com/PrefectHQ/prefect) - Modern workflow orchestration framework
+- [Dagster](https://github.com/dagster-io/dagster) - Data orchestrator for machine learning, analytics, and ETL
+
+### Data Integration & ETL
+- [Talend Open Studio for Big Data](https://github.com/Talend/tdi-studio-se) - Open source data integration platform
+- [Apache NiFi](https://github.com/apache/nifi) - System for processing and distributing data
+- [Singer](https://github.com/singer-io) - Open source standard for writing scripts that move data
+
+### Analytics & Visualization
+- [Apache Superset](https://github.com/apache/superset) - Modern data exploration and visualization platform
+- [Metabase](https://github.com/metabase/metabase) - Business intelligence tool for everyone in your company
+- [Grafana](https://github.com/grafana/grafana) - Observability and data visualization platform
+
+## Specialized Platforms
+
+### Machine Learning & AI
+- [MLflow](https://github.com/mlflow/mlflow) - Machine learning lifecycle management
+- [Kubeflow](https://github.com/kubeflow/kubeflow) - Machine learning toolkit for Kubernetes
+- [Apache Mahout](https://github.com/apache/mahout) - Distributed linear algebra framework
+
+### Data Lakes & Warehouses
+- [Apache Iceberg](https://github.com/apache/iceberg) - High-performance format for huge analytic tables
+- [Delta Lake](https://github.com/delta-io/delta) - Storage framework that brings ACID transactions to Apache Spark
+- [Apache Hudi](https://github.com/apache/hudi) - Transactional data lake platform
+
+### Legacy & Specialized
+- [HPCC Systems](https://github.com/hpcc-systems/HPCC-Platform) - Massive parallel-processing computing platform
+- [RapidMiner](https://github.com/rapidminer/rapidminer-studio) - Data science platform for teams
+
+## Getting Started Tips
+
+- **For Beginners**: Start with Apache Spark or Elasticsearch - they have great documentation and active communities
+- **For Data Engineers**: Check out Apache Airflow for workflow management or Apache Kafka for streaming
+- **For Analysts**: Try Apache Superset or Metabase for visualization projects
+- **Good First Issues**: Look for repositories with "good first issue" or "beginner-friendly" labels
+
+[return to top](../README.md)

categories/cloud-native.md

@@ -0,0 +1,81 @@
+<h1 align="center"><a href="../README.md">Open Source Handbook</a></h1>
+<h3 align="center">Cloud Native & DevOps Projects</h3>
+
+## Container Orchestration
+
+### Kubernetes Ecosystem
+- [Kubernetes](https://github.com/kubernetes/kubernetes) - Container orchestration platform
+- [Helm](https://github.com/helm/helm) - Package manager for Kubernetes
+- [Istio](https://github.com/istio/istio) - Service mesh for microservices
+- [Linkerd](https://github.com/linkerd/linkerd2) - Ultralight service mesh for Kubernetes
+
+### Container Runtimes
+- [Docker](https://github.com/moby/moby) - Container platform (Moby project)
+- [Podman](https://github.com/containers/podman) - Daemonless container engine
+- [containerd](https://github.com/containerd/containerd) - Industry-standard container runtime
+
+## CI/CD & Automation
+
+### Continuous Integration
+- [Jenkins](https://github.com/jenkinsci/jenkins) - Automation server for CI/CD
+- [GitLab CI](https://github.com/gitlabhq/gitlabhq) - Complete DevOps platform
+- [Tekton](https://github.com/tektoncd/pipeline) - Cloud-native CI/CD building blocks
+- [Drone](https://github.com/harness/drone) - Container-native CI/CD platform
+
+### Infrastructure as Code
+- [Terraform](https://github.com/hashicorp/terraform) - Infrastructure provisioning tool
+- [Pulumi](https://github.com/pulumi/pulumi) - Modern infrastructure as code
+- [Ansible](https://github.com/ansible/ansible) - IT automation platform
+- [Chef](https://github.com/chef/chef) - Configuration management tool
+
+## Monitoring & Observability
+
+### Metrics & Monitoring
+- [Prometheus](https://github.com/prometheus/prometheus) - Monitoring system and time series database
+- [Grafana](https://github.com/grafana/grafana) - Observability and data visualization platform
+- [Jaeger](https://github.com/jaegertracing/jaeger) - Distributed tracing platform
+- [OpenTelemetry](https://github.com/open-telemetry) - Observability framework
+
+### Logging
+- [Fluentd](https://github.com/fluent/fluentd) - Data collector for unified logging layer
+- [Logstash](https://github.com/elastic/logstash) - Server-side data processing pipeline
+- [Vector](https://github.com/vectordotdev/vector) - High-performance observability data pipeline
+
+## Service Mesh & Networking
+
+- [Envoy](https://github.com/envoyproxy/envoy) - Cloud-native high-performance edge/middle/service proxy
+- [Consul](https://github.com/hashicorp/consul) - Service networking solution
+- [Traefik](https://github.com/traefik/traefik) - Modern HTTP reverse proxy and load balancer
+- [NGINX](https://github.com/nginx/nginx) - HTTP and reverse proxy server
+
+## Security & Policy
+
+- [Open Policy Agent (OPA)](https://github.com/open-policy-agent/opa) - Policy engine for cloud native environments
+- [Falco](https://github.com/falcosecurity/falco) - Runtime security monitoring
+- [Trivy](https://github.com/aquasecurity/trivy) - Vulnerability scanner for containers
+- [Cert-Manager](https://github.com/cert-manager/cert-manager) - X.509 certificate management for Kubernetes
+
+## Storage & Databases
+
+### Cloud-Native Storage
+- [Rook](https://github.com/rook/rook) - Storage orchestrator for Kubernetes
+- [Longhorn](https://github.com/longhorn/longhorn) - Distributed block storage system for Kubernetes
+- [OpenEBS](https://github.com/openebs/openebs) - Container-attached storage
+
+### Cloud-Native Databases
+- [CockroachDB](https://github.com/cockroachdb/cockroach) - Distributed SQL database
+- [TiDB](https://github.com/pingcap/tidb) - Distributed HTAP database
+- [Vitess](https://github.com/vitessio/vitess) - Database clustering system for horizontal scaling of MySQL
+
+## Getting Started Tips
+
+- **For Beginners**: Start with Docker and Kubernetes basics, then explore Helm for package management
+- **For DevOps Engineers**: Check out Prometheus + Grafana for monitoring or Terraform for infrastructure
+- **For Security**: Try Trivy for vulnerability scanning or Falco for runtime security
+- **Good First Issues**: Many CNCF projects have excellent "good first issue" labels and mentorship programs
+
+## CNCF Landscape
+
+Most of these projects are part of the [Cloud Native Computing Foundation (CNCF)](https://landscape.cncf.io/), which provides excellent resources for contributors and maintains a comprehensive landscape of cloud-native technologies.
+
+[return to top](../README.md)

categories/data-science.md

@@ -0,0 +1,72 @@
+<h1 align="center"><a href="../README.md">Open Source Handbook</a></h1>
+<h3 align="center">Data Science & Machine Learning Projects</h3>
+
+## Machine Learning Frameworks
+
+### Python-Based
+- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - Machine learning library for Python
+- [TensorFlow](https://github.com/tensorflow/tensorflow) - End-to-end open source platform for machine learning
+- [PyTorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python
+- [Keras](https://github.com/keras-team/keras) - Deep learning API written in Python
+- [XGBoost](https://github.com/dmlc/xgboost) - Optimized distributed gradient boosting library
+
+### Multi-Language
+- [Apache Spark MLlib](https://github.com/apache/spark) - Scalable machine learning library
+- [H2O](https://github.com/h2oai/h2o-3) - Fast scalable machine learning platform
+- [Weka](https://github.com/Waikato/weka-3.8) - Collection of machine learning algorithms
+
+## Data Analysis & Visualization
+
+### Python Libraries
+- [Pandas](https://github.com/pandas-dev/pandas) - Powerful data structures for data analysis
+- [NumPy](https://github.com/numpy/numpy) - Fundamental package for scientific computing
+- [Matplotlib](https://github.com/matplotlib/matplotlib) - Comprehensive library for creating static, animated, and interactive visualizations
+- [Seaborn](https://github.com/mwaskom/seaborn) - Statistical data visualization library
+- [Plotly](https://github.com/plotly/plotly.py) - Interactive graphing library
+
+### R Ecosystem
+- [R](https://github.com/wch/r-source) - Language and environment for statistical computing
+- [Shiny](https://github.com/rstudio/shiny) - Web application framework for R
+- [ggplot2](https://github.com/tidyverse/ggplot2) - Grammar of graphics for R
+
+## Jupyter & Notebooks
+
+- [Jupyter](https://github.com/jupyter/jupyter) - Interactive computing across dozens of programming languages
+- [JupyterLab](https://github.com/jupyterlab/jupyterlab) - Next-generation web-based user interface for Project Jupyter
+- [Voilà](https://github.com/voila-dashboards/voila) - Rendering of live Jupyter notebooks with interactive widgets
+
+## MLOps & Model Management
+
+- [MLflow](https://github.com/mlflow/mlflow) - Machine learning lifecycle management
+- [DVC](https://github.com/iterative/dvc) - Data version control system for machine learning projects
+- [Weights & Biases](https://github.com/wandb/wandb) - Developer tools for machine learning
+- [Kubeflow](https://github.com/kubeflow/kubeflow) - Machine learning toolkit for Kubernetes
+
+## Natural Language Processing
+
+- [spaCy](https://github.com/explosion/spaCy) - Industrial-strength Natural Language Processing
+- [NLTK](https://github.com/nltk/nltk) - Natural Language Toolkit
+- [Transformers](https://github.com/huggingface/transformers) - State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX
+- [Gensim](https://github.com/RaRe-Technologies/gensim) - Topic modeling and document similarity analysis
+
+## Computer Vision
+
+- [OpenCV](https://github.com/opencv/opencv) - Open source computer vision and machine learning software library
+- [Pillow](https://github.com/python-pillow/Pillow) - Python Imaging Library
+- [ImageIO](https://github.com/imageio/imageio) - Python library for reading and writing image data
+
+## Getting Started Tips
+
+- **For Beginners**: Start with scikit-learn and Pandas - excellent documentation and community
+- **For Deep Learning**: Try PyTorch or TensorFlow tutorials
+- **For Visualization**: Begin with Matplotlib or Plotly
+- **For NLP**: spaCy has great beginner-friendly examples
+- **Good First Issues**: Look for "good first issue" labels in scikit-learn, Pandas, or Matplotlib
+
+## Learning Resources
+
+- [Kaggle Learn](https://www.kaggle.com/learn) - Free micro-courses in data science
+- [Papers With Code](https://github.com/paperswithcode/paperswithcode) - Machine learning papers with code implementations
+- [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) - Curated list of ML frameworks and libraries
+
+[return to top](../README.md)