Category
Data & Analytics
Data engineering and analytics tools: ETL and reverse ETL, dbt, BI platforms like Metabase and Superset, product analytics, and Python data libraries.
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Building a Stock Backtesting Platform for the Casablanca Stock Exchange (and What the Data Said)
CasaTrend collects Casablanca market data every evening, scans for signals and runs reproducible strategy research. Here is how it is built, and why the most…
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Apr 25, 2026
Apache Superset Dashboard Tutorial: From Raw Data to Visual Insights
Step-by-step Apache Superset tutorial: connect a database, create datasets, build charts and assemble a dashboard, with tips for fast queries.
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Apr 25, 2026
Best Open Source Product Analytics Tools for Developers in 2026
Open-source product analytics for developers: PostHog, Umami, Matomo and others compared on self-hosting, event tracking and scaling costs.
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Apr 25, 2026
Polars vs Pandas Comparison 2025: Which Python Library Should You Use?
Polars vs pandas: a Rust-powered, lazy DataFrame library against the Python standard. Benchmarks, API differences and when to switch.
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Apr 25, 2026
The Engineering Manager’s Guide to Product Analytics Tools: Data-Driven Decision Making
Product analytics for engineering managers: why EMs need usage data, architecture choices, turning events into decisions and tools compared.
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Apr 25, 2026
The Definitive Guide to Self-Hosted Analytics Platforms for Developers
Self-hosted analytics for developers: what makes a platform developer-friendly, the main open-source options and deploying from Docker to production.
