Ultimate Tech Stack Guide 2025

🚀 Top Tech Tools & Software by Category

☁️ Cloud Computing Platforms
1

🔶
Amazon Web Services (AWS)

The world’s most comprehensive cloud platform with 200+ services for compute, storage, databases, and more.

2

☁️
Microsoft Azure

Microsoft’s cloud computing service for building, testing, deploying applications and services.

3

🟡
Google Cloud Platform (GCP)

Google’s suite of cloud computing services running on the same infrastructure as Google products.

4

🔷
IBM Cloud

Enterprise-focused cloud platform with AI, data, and security capabilities.

5

🌊
DigitalOcean

Developer-friendly cloud platform designed for simplicity and ease of use.

⚙️ DevOps & Infrastructure
1

🐳
Docker

Platform for developing, shipping, and running applications using containerization technology.

2

☸️
Kubernetes

Open-source container orchestration platform for automating deployment and management.

3

🏗️
Terraform

Infrastructure as Code tool for building, changing, and versioning infrastructure safely.

4

🔧
Jenkins

Open-source automation server for continuous integration and continuous deployment (CI/CD).

5

🎭
Ansible

Automation platform for configuration management, application deployment, and orchestration.

🌐 Web Development
1

⚛️
React

JavaScript library for building user interfaces with component-based architecture.

2

📝
Visual Studio Code

Free, open-source code editor with rich ecosystem of extensions and built-in Git support.

3

🟢
Node.js

JavaScript runtime built on Chrome’s V8 engine for server-side development.

4

🅰️
Angular

TypeScript-based web application framework for building scalable single-page applications.

5

💚
Vue.js

Progressive JavaScript framework for building user interfaces and single-page applications.

🤖 AI & Machine Learning
1

🐍
Python

Primary programming language for AI/ML with extensive libraries and frameworks.

2

🔥
PyTorch

Open-source machine learning framework known for dynamic computation graphs and research flexibility.

3

🧠
TensorFlow

Google’s open-source platform for machine learning and deep neural networks.

4

📊
scikit-learn

Machine learning library for Python providing simple and efficient data mining tools.

5

📈
Jupyter Notebook

Interactive computing environment for data science and machine learning experiments.

📊 Data Science & Analytics
1

🐼
pandas

Powerful data manipulation and analysis library for Python with DataFrame structures.

2

📈
Tableau

Leading data visualization platform for creating interactive dashboards and reports.

3

🔢
NumPy

Fundamental package for scientific computing in Python with powerful array operations.

4

📊
Power BI

Microsoft’s business analytics tool for visualizing data and sharing insights.

5

📉
Matplotlib

Comprehensive library for creating static, animated, and interactive visualizations in Python.

🔄 ETL/ELT & Data Engineering
1

🌪️
Apache Airflow

Platform for developing, scheduling, and monitoring workflows as directed acyclic graphs (DAGs).

2

❄️
Snowflake

Cloud-based data warehousing platform with automatic scaling and data sharing capabilities.

3

🔺
dbt (Data Build Tool)

Command-line tool for transforming data in warehouses by writing SELECT statements.

4


Apache Spark

Unified analytics engine for large-scale data processing with built-in modules for SQL, streaming, and ML.

5

🏗️
Databricks

Unified data analytics platform combining data engineering, data science, and business analytics.

📈 Business Intelligence & Reporting
1

📊
Looker

Modern BI platform for data exploration and business intelligence with modeling layer.

2

🔍
Qlik Sense

Self-service data visualization and discovery application with associative analytics engine.

3

💎
Sisense

AI-driven analytics platform that simplifies complex data into actionable insights.

4

📋
Metabase

Open-source business intelligence tool for creating dashboards and asking questions about data.

5


Apache Superset

Modern data exploration and visualization platform for creating rich interactive dashboards.

🤖 Agentic AI & LLM Tools
1

🔗
LangChain

Framework for developing applications powered by language models with chains and agents.

2

🦙
LlamaIndex

Data framework for connecting custom data sources to large language models.

3

🌟
OpenAI API

Access to GPT models and other AI capabilities through RESTful API endpoints.

4

🤗
Hugging Face

Platform for machine learning with pre-trained models, datasets, and deployment tools.

5

🔮
AutoGPT

Autonomous AI agent that can perform tasks by breaking them down into sub-tasks.

🔒 Cybersecurity
1

🕷️
Nmap

Network discovery and security auditing tool for network administrators and security professionals.

2

🦈
Wireshark

Network protocol analyzer for troubleshooting, analysis, and security auditing.

3

🛡️
Splunk

Platform for searching, monitoring, and analyzing machine-generated data for security insights.

4

🔍
Burp Suite

Integrated platform for web application security testing and vulnerability scanning.

5

🐉
Kali Linux

Debian-based Linux distribution designed for digital forensics and penetration testing.

👁️ Observability & Monitoring
1

📊
Prometheus

Open-source monitoring system with dimensional data model and powerful query language.

2

📈
Grafana

Multi-platform analytics and interactive visualization web application for monitoring data.

3

🔍
Elastic Stack (ELK)

Collection of open-source tools for search, logging, and analytics (Elasticsearch, Logstash, Kibana).

4

📡
Datadog

Monitoring and analytics platform for cloud applications, infrastructure, and logs.

5

🔎
Jaeger

Open-source distributed tracing platform for monitoring microservices-based architectures.

🏛️ Data Governance & Management
1

🗃️
Apache Atlas

Data governance and metadata management platform for Hadoop and cloud ecosystems.

2

🔐
Collibra

Data intelligence platform for data governance, privacy, and quality management.

3

📋
Informatica

Enterprise data management platform for data integration, quality, and governance.

4

🎯
Alation

Data catalog and governance platform for discovering, understanding, and governing data assets.

5


Great Expectations

Open-source Python library for data quality testing, validation, and profiling.

🗄️ Database & Storage
1

🐘
PostgreSQL

Advanced open-source relational database with strong standards compliance and extensibility.

2

🍃
MongoDB

Document-oriented NoSQL database designed for scalability and flexibility in modern applications.

3

🔴
Redis

In-memory data structure store used as database, cache, and message broker.

4


Apache Cassandra

Distributed NoSQL database designed for handling large amounts of data across commodity servers.

5

🐬
MySQL

Popular open-source relational database management system known for reliability and ease of use.