Skip to main content

CLI app powered by FRED (Federal Reserve Economic Data)

Project description

FRED CLI

TL;DR: CLI app to interface with the FRED (Federal Reserve Economic Data) API.

fred-cli demo

Fancy video thanks to: asciinema

Table of Contents

Requirements

Installation

Assuming you have Python 3.6+ installed, you can install fred-cli via pip:

pip install fred-cli

You'll also need an API key for FRED, which you can get for free via the FRED website. Once you have your API key, export an environment variable that fred-cli can use:

export FRED_API_KEY=yourkeyhere

Documentation

fred-cli supports three main methods in v1:

  • search
  • about
  • get

Search

There are ~766,000 unique economic time series available via FRED. Luckily, fred-cli makes it easy to search through this massive list using search.

Example:

fred search gross national product

Returns:

ID Title Units Freq.
GNP Gross National Product Bil. of $ Q
GNPA Gross National Product Bil. of $ A
A001RP1Q027SBEA Gross National Product % Chg. from Preceding Period Q
A001RP1A027NBEA Gross National Product % Chg. from Preceding Period A
MKTGNIUSA646NWDB Gross National Income for United St Current $ A
GNPC96 Real Gross National Product Bil. of Chn. 2012 $ Q
A001RO1Q156NBEA Real Gross National Product % Chg. from Qtr. 1 Yr. Ago Q
GNPCA Real Gross National Product Bil. of Chn. 2012 $ A
A001RL1A225NBEA Real Gross National Product % Chg. from Preceding Period A
A001RL1Q225SBEA Real Gross National Product % Chg. from Preceding Period Q
GNPDEF Gross National Product: Implicit Pr Index 2012=100 Q
A001RI1Q225SBEA Gross National Product: Implicit Pr % Chg. from Preceding Period Q
A001RI1A225NBEA Gross National Product: Implicit Pr % Chg. from Preceding Period A
MKTGNIPHA646NWDB Gross National Income for Philippin Current $ A

Page: 1 / 34 | next page (n), prev page (b), exit (e)

Search provides 15 results per page and pagination using user keyboard input:

  • n = next page
  • b = previous page
  • e = to exit and issue new commands

About

The search function only provides summary information on retrieved metrics and should be thought of as an entry point. That's why fred-cli also provides an about method that fetches more detailed information on a specific metric - given its ID.

Example:

fred about GNP

Returns:

Series Info:
ID: GNP
Title: Gross National Product
Obs. Start: 1947-01-01
Obs. End: 2020-04-01
Frequency: Quarterly
Units: Billions of Dollars
Seasonal Adjustment: Seasonally Adjusted Annual Rate
Last Updated: 2020-08-27 08:00:33-05

Using the search and about method in tandem will allow users to properly discover and learn about available metrics.

Get

Finally, there's the workhorse of the CLI - the get method. This method fetches an the time series for a user specified metric - given a metric ID. Metric IDs can be found using the search method described above.

Example:

fred get GNP

Returns:

Period GNP
2015-07-01 18560.9
2015-10-01 18611.9
2016-01-01 18684.3
2016-04-01 18874.5
2016-07-01 19043.7
2016-10-01 19306
2017-01-01 19514.1
2017-04-01 19646.8
2017-07-01 19918.7
2017-10-01 20261.5
2018-01-01 20556.8
2018-04-01 20844.2
2018-07-01 21002.7
2018-10-01 21182.6
2019-01-01 21361.8
2019-04-01 21601
2019-07-01 21820.1
2019-10-01 22028.5
2020-01-01 21804.3
2020-04-01 19616.8

get defaults to fetching five years worth of data - but users can specify a year period via the -y argument:

Example:

fred get -y 1 GNP

Returns:

Period GNP
2019-07-01 21820.1
2019-10-01 22028.5
2020-01-01 21804.3
2020-04-01 19616.8

License

MIT License

Copyright (c) 2020 Aadhi Manivannan

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fred-cli-1.0.0.tar.gz (5.8 kB view details)

Uploaded Source

Built Distribution

fred_cli-1.0.0-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file fred-cli-1.0.0.tar.gz.

File metadata

  • Download URL: fred-cli-1.0.0.tar.gz
  • Upload date:
  • Size: 5.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.2

File hashes

Hashes for fred-cli-1.0.0.tar.gz
Algorithm Hash digest
SHA256 d5a17a40871aaa44b0c9be276b1b710b2711c3a84b0f8ec4bc36d96ff810d8db
MD5 acdef1d3bd44cc45c5b27087345cd22d
BLAKE2b-256 ef6d1f993f47ae6d634546cf7f69802aaf82059712ba846b829d3178a8087609

See more details on using hashes here.

File details

Details for the file fred_cli-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: fred_cli-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 7.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.2

File hashes

Hashes for fred_cli-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a4aad174d57cf65ea806588d2f96aa344957fc83abbf6dafa86ca156baad4be3
MD5 6afc58b2640815e3bdb138ae63fa6347
BLAKE2b-256 35b3cc9e5710fd583b045e1ffad3aab1465735dd7fa230221454a217f3ecc988

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page