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Nixtla

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39 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.9
Serving customers since
2021
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Nixtla Reviews

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Profile Name
Star Rating
36
3
0
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Jeffrey T.
JT
Jeffrey T.
Global Head of Forecasting, Principal Data Scientist. Founder Forecast Academy
11/05/2025
Validated Reviewer
Review source: Organic Review from Pop Up

Impressive Model Variety, would benefit with more End-to-End Workflow

I really appreciate how you can start with a pandas dataframe and rapidly explore a wide range of models, from traditional statistical approaches to advanced Neural Networks. The selection of models available is truly impressive. I also value the inclusion of Tuning and Hierarchical Reconciliation features, which are quite uncommon.
TARIK K.
TK
TARIK K.
11/05/2025
Validated Reviewer
Review source: Organic

Unlocks New Potential for Forecasting Accuracy

Potential of improving forecasting accuracy
Ricardo B.
RB
Ricardo B.
Bridging Geosciences & Computer Science to Advance Climate Research
11/04/2025
Validated Reviewer
Review source: Organic

The "de facto" stack for time series analysis.

Their stack it's in python, regularly maintained, consistent data structures and design patterns across libraries, which reduces engineering/implementation time, but also a wide range of classical methods for time series analysis, uncertainty quantification, along with novel developments , especially in the deep learning domain. The community is highly supportive, not only the engineering team from Nixtla, and most importantly, OPEN SOURCE.

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HQ Location:
San Francisco, US

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What is Nixtla?

Nixtla is a technology company that specializes in providing advanced time-series forecasting solutions. It offers a range of open-source tools and software designed to enhance the accuracy and efficiency of forecasting models. These tools are built to support various applications across industries, allowing businesses to leverage data-driven insights for better decision-making. Nixtla's solutions aim to streamline the forecasting process, enabling users to implement state-of-the-art models with ease. The company emphasizes innovation and accessibility, making sophisticated forecasting techniques available to a broad audience.

Details

Year Founded
2021