Skip to main content

Nixtla   Tweet  Slack

Nixtla

Forecast using TimeGPT

CI Python PyPi License docs Downloads

Nixtla offers a collection of classes and methods to interact with the API of TimeGPT.

🕰️ TimeGPT: Revolutionizing Time-Series Analysis

Developed by Nixtla, TimeGPT is a cutting-edge generative pre-trained transformer model dedicated to prediction tasks. 🚀 By leveraging the most extensive dataset ever – financial, weather, energy, and sales data – TimeGPT brings unparalleled time-series analysis right to your terminal! 👩‍💻👨‍💻

In seconds, TimeGPT can discern complex patterns and predict future data points, transforming the landscape of data science and predictive analytics.

⚙️ Fine-Tuning: For Precision Prediction

In addition to its core capabilities, TimeGPT supports fine-tuning, enhancing its specialization for specific prediction tasks. 🎯 This feature is like training a machine learning model on a targeted data subset to improve its task-specific performance, making TimeGPT an even more versatile tool for your predictive needs.

🔄 Nixtla: Your Gateway to TimeGPT

With Nixtla, you can easily interact with TimeGPT through simple API calls, making the power of TimeGPT readily accessible in your projects.

💻 Installation

Get Nixtla up and running with a simple pip command:

pip install nixtla>=0.5.1

🎈 Quick Start

Get started with TimeGPT now:

df = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/electricity-short.csv')

from nixtla import NixtlaClient
nixtla_client = NixtlaClient(
    # defaults to os.environ.get("NIXTLA_API_KEY")
    api_key = 'my_api_key_provided_by_nixtla'
)
fcst_df = nixtla_client.forecast(df, h=24, level=[80, 90])

Metadata

Release files for nixtla 0.5.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nixtla 0.5.1
File Size Uploaded
nixtla-0.5.1.tar.gz 57.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for nixtla 0.5.1
File Interpreter ABI Platform
nixtla-0.5.1-py3-none-any.whl Python 3 none any Details

Total release size: 128.4 kB

Release files / nixtla-0.5.1.tar.gz

Download URL nixtla-0.5.1.tar.gz
Size 57.0 kB
Tags Source
SHA-256 checksum
How to use checksums
107e2313e236fb559973c7663587ee9f9f54d6cda8758c8567811c582a85f216
BLAKE2b-256 checksum
How to use checksums
a9af74fd590d0ffd07bf629662a87a00443580fe6f7db067b91ed370bfaa476a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.0.0 CPython/3.12.3

Release files / nixtla-0.5.1-py3-none-any.whl

Download URL nixtla-0.5.1-py3-none-any.whl
Size 71.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0c335c5376b87f1cf96faf2896b3c085206f8a1fdfa6908ea5fadea8ab9b1d4f
BLAKE2b-256 checksum
How to use checksums
e80b8e205da55dc7c987d04be3f0931166a3e196c17459c1fb46dcd88dcbd76f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.0.0 CPython/3.12.3
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page