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Open source
24 alternativeslatamdata-py
latamdata-py provides one line access to 38 open research datasets from Latin America.
About latamdata-py
latamdata-py is a Python package that provides one-line access to 38+ open research datasets from Latin America, covering neuroscience, mental health, epidemiology, and social determinants of health. The datasets are described as available under CC0 or CC-BY-4.0 licenses.
It installs with pip install latamdata-py and requires Python 3.8+, pandas, and requests. Users can list available datasets, load a dataset as a pandas DataFrame by ID, and retrieve metadata such as title, URL, DOI, and description.
Key features
- Load a dataset as a pandas DataFrame by ID
- List all available datasets at runtime
- Retrieve metadata including title, URL, DOI, and description
- Pass extra arguments through to pandas.read_csv
- Install with pip on Python 3.8 and later
- Access datasets on neuroscience, mental health, and epidemiology
Best for: Python users and researchers working with Latin American health and social research datasets.
Good for
- Loads datasets directly as pandas DataFrames
- Datasets described as under CC0 or CC-BY-4.0 licenses
- Includes functions to list datasets and check metadata
Watch out for
- Requires Python 3.8+, pandas, and requests
- Several example datasets show no DOI in the table
latamdata-py at a glance
- Category
- Research & Data › Open Data & Datasets
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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latamdata-py FAQ
How do I install latamdata-py?
Run pip install latamdata-py. It requires Python 3.8+, pandas, and requests.
How do I load a dataset?
Import the package as import latamdata as ld, then use ld.load("alzheimer-latam") to get a pandas DataFrame.
How do I see what datasets are available?
Use ld.list_datasets() to return a DataFrame with names, titles, DOIs, and keywords.
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