evdsts

Macroeconomic time series toolkit for TCMB EVDS (CBRT EDDS)

The Purpose

evdsts is a Python implementation for retrieving and transforming macroeconomic time series data from The Central Bank of Republic of Turkiye Electronic Data Delivery System (EDDS) API. evdsts is designed for making both data retrieving and also time series analysis easy thanks to its time series analysis ready outputs and other useful transformations.

Overview

evdsts is mainly designed for preparing the time series analysis ready datasets from the data retrieved from EDDS. evdsts both makes the data retrieving easy and also allows you to start working on data instantly with its advanced features that gives you complete control over the retrieved data.

evdsts is consisted of two important classes:

Key Features

• In-situ search -- search series by keywords without leaving Python; results are instant and local.
• Analysis-ready outputs -- every returned value is guaranteed to be a proper numeric or datetime type, never a raw string.
• Auto time-series indexing -- retrieved data are converted to real pandas DatetimeIndex series automatically (optional).
• Reference names -- assign memorable aliases like usdtry or cppi to complex EDDS codes; aliases are permanent and portable across projects.
• Human-readable parameters -- use daily, quarterly, percent, diff, max instead of cryptic API codes.
• Pre-flight validation -- many parameter errors are caught before any network request is made.
• Extended transformations -- log-returns, higher-order differences and other operations not natively supported by the API.
• Flexible output -- get results as DataFrame, JSON or dict; write to disk as CSV, JSON or XLS.
• CLI support -- rebuild search indexes from the command line with evdsts build-index.
• Fully annotated -- type hints and docstrings everywhere for IDE autocompletion and quick help.

Quick Start

from evdsts import Connector

connector = Connector("YOUR_API_KEY", language="EN")

# search for a series
connector.where("consumer price index")

# retrieve data
cpi = connector.get_series("TP.FE.OKTG01", start_date="01.01.2020")

# retrieve multiple series
rates = connector.get_series(
    "TP.DK.USD.A.YTL, TP.DK.EUR.A.YTL",
    start_date="01.01.2023",
    frequency="M",
    transformations="percent",
)

CLI Usage

# rebuild the search index
evdsts build-index --language ENG -y

# see all options
evdsts build-index --help

Documentation

Please see THE USER MANUAL for detailed explanations about how to get an API key from the EDDS and use evdsts.

Examples

Download the Jupyter Notebook Application that covers the main use cases of evdsts, or alternatively open it on Google Colab by clicking the Open in Colab badge above.

Installation

Stable version of evdsts is available on GitHub, PyPI and conda-forge.

# PyPI
pip install evdsts

# GitHub
pip install git+https://github.com/syncoding/evdsts.git

# Conda
conda install evdsts -c conda-forge

Dependencies

openpyxl is additionally required if you want to write data in MS Excel format.

Links

Contact