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Dynamic data analysis over the web. The logic to your data dashboards.

Project description

https://secure.travis-ci.org/modilabs/bamboo.png?branch=master

bamboo is an application that systematizes realtime data analysis. bamboo provides an interface for merging, aggregating and adding algebraic calculations to dynamic datasets. Clients can interact with bamboo through a a REST web interface and through Python.

bamboo supports a simple querying language to build calculations (e.g. student teacher ratio) and aggregations (e.g. average number of students per district) from datasets. These are updated as new data is received.

https://farm4.staticflickr.com/3363/3419345800_2c6c4133d3_z.jpg?zz=1

bamboo is open source software released under the 3-clause BSD license, which is also known as the “Modified BSD License”.

Dependencies

  • python (tested on version 2.7)

  • mongodb

for numpy, pandas, and scipy:

on Arch Linux: # pacman -S blas lapack gcc-fortran

on Debian based: # apt-get install gfortran libatlas-base-dev

Using as a Python Libary

Installation

$ pip install bamboo-server

Python pip package for bamboo.

Usage

import bamboo as bm

bf = bm.BambooFrame([{'date': '2012-12-21'}])
bff = bf.recognize_dates()
bff.to_json()

>>> '[{"date": {"$date": 1356048000000}}]'

# Turn asyncronous processing off
bm.set_async(False)

url = 'http://formhub.org/mberg/forms/good_eats/data.csv'
dataset = bm.Dataset.create()
dataset.import_from_url(url, na_values=['n/a'])
dataset.schema

>>> {u'_gps_altitude': {u'cardinality': 14, u'label': u'_gps_altitude', ...

# Resample monthly, 'M', aggregating by mean
date_column = 'submit_date'
monthly = ds.resample(date_column, 'M', 'mean').set_index(date_column)
monthly_amounts = monthly.amount.dropna()

# Plot the amount spent per month
mothly_amounts.plot()
https://raw.github.com/modilabs/bamboo/master/docs/images/amount.png

Installation

$ ./scripts/install.sh

Example Usage

On the remote server

running the example basic commands

$ ./scripts/commands.sh

using bamboo.JS

var dataset = new bamboo.Dataset({url: 'http://bitly.com/ZfzBwP'});
bamboo.dataset_exists('nonexistentdataset_id');
dataset.query_info();
...

using pybamboo

from pybamboo import PyBamboo
pybamboo = PyBamboo()
response = pybamboo.store_csv_file('http://formhub.org/mberg/forms/good_eats/data.csv')
dataset_id = response['id']
...

posting a dataset

$ curl -X POST -d "url=http://formhub.org/mberg/forms/good_eats/data.csv" http://bamboo.io/datasets

Documentation

Viewing Documentation

The latest docs are available at http://bamboo.io/

About

Join the bamboo-dev mailing list.

bamboo is an open source project. The project features, in chronological order, the combined efforts of

  • Peter Lubell-Doughtie

  • Mark Johnston

and other developers.

Projects using bamboo

  • bamboo.io - The bamboo.io web service API

  • formhub - Mobile Data Collection made easy

  • AFSIS - Africa Soil Information Service

Is your project using bamboo? Let us know!

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