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 REST web interface, a Python library, or a JavaScript library. For more languages request a libary in the language you prefer.
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.
bamboo uses pandas for data analysis, pyparsing to read formulas, and mongodb to serialize data.
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.
On Mac OS X: $ brew install gfortran.
Using as a Python Libary
Installation
$ pip install bamboo-serverPython pip package for bamboo.
For creating plots: $ pip install matplotlib.
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()
Installation
$ ./scripts/install.shExample Usage
On the remote server
running the example basic commands
$ ./scripts/commands.shusing 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/datasetsDocumentation
Viewing Documentation
The latest docs are available at http://bamboo.io/
About
Join the bamboo-dev list.
bamboo is an open source project. The project features, in chronological order, the combined efforts of
Peter Lubell-Doughtie
Mark Johnston
Prabhas Pokharel
Renaud Gaudin
Myf Ma
Ukang’a Dickson
Larry Weya
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!
1 maintainer
Metadata
1 maintainer
Release files for bamboo-server 0.6.3
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