Kenya's Data Marketplace & Analysis Lab
African data exists. Finding and using it is the hard part.
Kenya generates vast amounts of economic, demographic, and trade data — yet it remains scattered across government portals, PDFs, and siloed tools. Data professionals are left stitching together fragments when they should be building insights.
Data is scattered and hard to find
Economic indicators, county-level demographics, trade records, and survey results live across dozens of disconnected sources with no standard format or discovery layer.
No community built around Kenyan data
Global platforms like Kaggle and Zindi run competition-based models. There is no dedicated space for Kenyan data professionals to collaborate, share, and build together outside of a contest.
Analysis requires specialist tools
Most platforms hand you a file and leave you to it. Non-engineers and domain experts — journalists, policy analysts, NGO researchers — have no accessible path from raw data to insight.
An integrated data lab, built for Kenya
Everything you need to upload, understand, share, and build on data — without switching between five different tools.
Curated & community datasets
The Aesops team curates and publishes structured Kenyan datasets. Have data that fills a gap? Community contributions are welcome — helping build a richer, more complete hub for everyone.
AI-powered instant analysis
Connect a dataset and get an AI-generated breakdown of patterns, anomalies, distributions, and key insights — powered by Gemini. No SQL required.
Visual exploration
Automatic charts for numeric distributions and categorical breakdowns. See your data before you dive into it — clear, fast, no configuration needed.
Browse the data library
Search and filter a growing library of Kenyan datasets covering counties, economic indicators, demographics, trade, and more. Download what you need.
Editorial insights
The Aesops blog publishes data stories, tutorials, and analysis written by our team and the community — grounded in real Kenyan context.
Governed, attributed, and trusted
Every dataset is reviewed, sourced, and published with clear attribution and licensing. Community contributors retain control over their submissions — update details, correct errors, or remove data at any time.
From the data desk
Analysis, tutorials, and stories from the Aesops team and community — grounded in Kenyan and African data.