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Nixtla Reviews & Product Details

Nixtla Product Details

TimeGPT is the world's first foundation model specifically designed for time series forecasting and anomaly detection. It provides state-of-the-art capabilities to help users make better decisions with their time series data. Key features include: - Zero-shot Inference: Generate forecasts and detect anomalies straight out of the box, requiring no prior training data. - Extensive training on over 100 billion time series data points across finance, energy, weather, and more - Fine-tuning: Enhance TimeGPT’s capabilities by fine-tuning the model on specific datasets, allowing adaptation to unique time series data. - API Access: Seamlessly integrate TimeGPT into applications via a robust API. TimeGPT is also supported through Azure Studio or can be deployed on private infrastructure. - Support for Exogenous Variables: Incorporate additional variables that might influence predictions to enhance forecast accuracy. - Multiple Series Forecasting: Simultaneously forecast multiple time series data, optimizing workflows and resources. - Anomaly Detection: Automatically detect anomalies in time series, with the option to use exogenous features for enhanced performance.

Product Website

Seller

Nixtla

Discussions

Nixtla Community

Languages Supported

English

Product Description

TimeGPT democratizes access to cutting-edge predictive insights, eliminating the need for a dedicated team of machine learning engineers.

Overview by

Paulina Salcedo

Value at a Glance

Averages based on real user reviews.

Time to Implement

1 month

View More Pricing Information

Nixtla Integrations

(9)

Verified by Nixtla

Nixtla Media

Nixtla Demo - Forecast with TimeGPT in 3 Simple Steps

TimeGPT makes forecasting easy with just a few lines of code. This example shows how to load data, generate a 24-hour forecast, and plot the results—all using the NixtlaClient.

Nixtla Demo - Detect anomalies with TimeGPT in 3 easy steps

This example highlights how users can detect anomalies in their time series data using just a few lines of code with the NixtlaClient. The red dots represent detected anomalies, making it easy to monitor spikes, drops, or unexpected behavior in any dataset.

Nixtla Demo - Zero-Shot Forecasting Performance

Performance benchmarking of TimeGPT across multiple time series frequencies, demonstrating its accuracy and speed in zero-shot inference, outperforming classical and deep learning models with minimal setup required.

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GS

GUILLERMO S.

Senior Expert Data Scientist

Enterprise (> 1000 emp.)

8/12/2025

"My favorite TS library for python and pyspark"

5/5

What do you like best about Nixtla?

Love that this is a home‑grown Mexican project with world‑class engineering.  Its models are impressively easy to use with a pair of lines of code, fast and cost‑efficient, and the catalogue is highly diverse: from classic statistical baselines, through machine‑learning methods, all the way to neural and foundation models like TimeGPT. I have more experience using the statsforecast library, which, if you’ve ever used Dr Rob Hyndman’s revered `forecast` package in R, you’ll feel right at home: the API feels familiar while adding many modern conveniences. Besides these, extras such as a rich suite of error metrics, built‑in cross‑validation, statistical feature generators, scalable execution on both Pandas and PySpark, probabilistic forecast intervals, and even an integrated AI assistant in its webpage to make everyday time‑series work delightfully productive. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

Cross‑validation, while powerful, is still hard to configure and not very intuitive. Despite the handy AI helper, clearer in‑line documentation and more usage examples would save time, particularly, when AI hallucinations forces you to double‑check primary sources. Finally, it baffles me that the library isn’t far more popular already; something this good deserves a wider crowd! Review collected by and hosted on G2.com.

EL

Eduardo L.

founder

Small-Business (50 or fewer emp.)

8/8/2025

"High quality and very easy to start using"

5/5

What do you like best about Nixtla?

We didn't have the resources to create forecasts in house as we don't employ data scientists, when I heard a data scientist friend saying he is using that on a day to day basis decided to try it and it has been great. We fully depend on it now, the onboarding was pretty simple and so far pretty reliable. I don't think it took us more than a week from first call to having it in use in a few pipelines.

Customer support has been nice, we like to think we are easy customers but nevertheless they offered calls with the tech team to help with the implementation. Integration was very simple though, so we didn't use those. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

It would be nice to have the API docs available, we are using the SDK so it isn't an issue but we have a few ideas we had to wait on because those haven't been released yet. Review collected by and hosted on G2.com.

BN

Bhumik N.

Product Manager

Mid-Market (51-1000 emp.)

8/7/2025

"TimeGPT has transformed forecasting capabilities for accurate prediction in environmental monitoring"

5/5

What do you like best about Nixtla?

Nixtla's TimeGPT provided a streamlined integration that uses a 7-day historical dataset to forecast pollution levels 24 hours ahead. This 'monitoring + forecasting' approach combines continuous sensor monitoring with advanced predictive analytics, enabling automated alerts and proactive management (Oizom)

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Leveraged an hourly 7-day historical dataset to accurately predict next-day pollution levels

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Seamless integration with Oizom's existing dashboard, boosting user engagement

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Implemented within 1 week, significantly reducing development complexity Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

No downsides, it was a very straightforward integration. Review collected by and hosted on G2.com.

What problems is Nixtla solving and how is that benefiting you?

It enhanced our engagement with 30-40% increase in dashboard engagement

Nixtla's ease of use enabled and integration in the time of 1 week

Increased value to our customers with accurate and fast forecasts that enable proactive management

It automated alerts and citywide action triggers

which optimised scheduling of high-emission tasks Review collected by and hosted on G2.com.

AA

Verified User in Aviation & Aerospace

Enterprise (> 1000 emp.)

8/12/2025

"Fast, Accurate Forecasting for Complex Engineering Datasets"

5/5

What do you like best about Nixtla?

As an aerodynamics engineer, I work with time series data daily, from wind tunnel tests to system performance metrics. TimeGPT has been a game-changer, letting me quickly create accurate forecasts without building models from scratch. Integration into our Python workflows was effortless, and we were up and running in hours. We now rely on it weekly for everything from rapid prototyping to system monitoring. Uploading data, generating forecasts, and analyzing results is very easy, and it performs impressively even with complex, noisy datasets. Nixtla’s customer support is outstanding , very responsive, knowledgeable, and quick to act on feedback. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

Overall, nothing significant to dislike. Occasionally, very specific forecasting scenarios require extra tweaking, though support has always been fast and effective. Review collected by and hosted on G2.com.

What problems is Nixtla solving and how is that benefiting you?

In aerospace engineering, we deal with complex time series from wind tunnel tests, flight data, and system monitoring. Building accurate forecasts used to take a lot of manual work, slowing decisions. TimeGPT delivers fast, reliable forecasts with minimal setup, so I can focus on insights instead of models. It’s cut our turnaround from days to hours, speeding up iterations, improving maintenance planning, and enabling better decisions. Review collected by and hosted on G2.com.

AI

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

8/12/2025

"End-to-End Adoption of Advanced Timeseries Forecasting Tools"

4.5/5

What do you like best about Nixtla?

The one thing I love about Nixtla is their constant attention to the latest and greatest techniques that add value to forecasting projects. Because it's an open source implementation, it was easy to use and integrate into existing workflows. I primarily use Nixtla for almost all forecasting projects and can reach out easily to their support via community slack. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

In the past, Nixtla has been missing a few enterprise grade features that would have been nice to have at the time. Review collected by and hosted on G2.com.

What problems is Nixtla solving and how is that benefiting you?

Nixtla is one of the only AI companies truly focused on democratizing it to a wider audience. Previously, state of the art forecasting methods and models were either limited to commercial software products or in R packages that researchers would maintain themselves. Nixtla was the first company to really take some of those best practices and re-implement them in Python thus allowing a wider adoption. Beyond just best practices, Nixtla provides access to an extrely diverse set of techniques that range from classical statistical methods, to machine learning and deep learning, and now to foundational models focused on time series forecasting Review collected by and hosted on G2.com.

MC

Manav C.

Applied Science Manager

Enterprise (> 1000 emp.)

8/7/2025

"Supercharging Decathlon's Supply Chain Demand Forecast with TimeGPT from Nixtla."

5/5

What do you like best about Nixtla?

Nixtla is a super innovative company with incredible customer focus, agility and state-of-the-art forecasting research experts. It was incredibly productive to work with Nixtla experts. Nixtla provided us access to their latest TimeGPT model and provided end-to-end hands on support on our complex fine-tuning use cases. TimeGPT model is very easy to use and very easy to onboard. We hosted TimeGPT on-premise with full control over our data and the model. It was very easy to integrate TimeGPT in our production environment. We used TimeGPT on a weekly frequency for our Supply Zone demand forecast. It was also very easy to implement TimeGPT for new business use cases and prototype quickly. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

There were no downside in our collaboration with Nixtla. Review collected by and hosted on G2.com.

What problems is Nixtla solving and how is that benefiting you?

Decathlon is the world's largest sporting goods retailer, designing, manufacturing, and selling products for over 70 sports

With a vertically integrated model and presence in 79 countries, Decathlon operates more than 2,000 stores globally

To maintain its market leadership and operational excellence, Decathlon continuously innovates its supply chain and forecasting strategies

Nixtla partnered with Decathlon's Demand and Assortment Planning team to simplify and scale forecasting across millions of time series, driving higher performance with lower costs

Decathlon's recent investments in a global Data Lab, RFID inventory tracking, and dynamic pricing systems demonstrate a deep commitment to AI-driven transformation. Nixtla's unified forecasting engine supports this broader digital strategy.

Decathlon integrated Nixtla's TimeGPT to unify forecasting under a single, scalable foundation model that improved accuracy, reduced bias, and streamlined their pipeline

• Integrated TimeGPT seamlessly into internal infrastructure with full data privacy

• Used a single command to run TimeGPT across diverse forecast types

• Eliminated the need for separate models and enabled rapid transferability across forecasting levels

With TimeGPT, we can forecast at scale with consistency across different granularities. It has freed up our data science resources and significantly improved productivity. Review collected by and hosted on G2.com.

LC

Laura C.

Associate Operations Manager

Enterprise (> 1000 emp.)

8/8/2025

"Accurate Forecasting for Users with Limited Technical Expertise"

5/5

What do you like best about Nixtla?

What I like best about TimeGPT from Nixtla is how it helped me tackle a real challenge that I was struggling with: understanding why users were leaving for competitors and improving our demand and capacity forecasting to boost retention. Without the technical know-how or resources to build accurate forecasts myself, I needed a tool that could turn these insights into actionable predictions without requiring me to be a data scientist.

TimeGPT really stood out because it’s easy to set up, integrates effortlessly with our existing tools, and is quick to get running, so we could start using it right away without a long learning curve or disruptions. I use it regularly because it’s straightforward and fits smoothly into our daily workflows. On top of that, their customer support is always responsive and ready to help when I have questions.

I appreciate that Nixtla offers a powerful forecasting solution that strikes the right balance between technical depth and user-friendliness, making it possible for people like me to make smarter, data-driven decisions with confidence. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

The only minor downside I’ve noticed is that some of the documentation could be a bit more detailed to help less technical users get up to speed even faster. Review collected by and hosted on G2.com.

What problems is Nixtla solving and how is that benefiting you?

One of the main challenges we had was turning what we learned from market research into accurate forecasts that could help us keep users from switching to competitors. Forecasting can get really technical, and since I’m not a data scientist, it was tough to get reliable predictions without relying on others.

Nixtla’s tool solves this by offering forecasting that’s powerful but still accessible for someone with some technical know-how like me. I don’t have to build complex models or dig into complicated setups, which saves a lot of time.

Because of that, we’ve been able to plan better around demand and capacity. The tool fits seamlessly into our regular workflows, making it easy to use data-driven insights without adding extra complexity. Review collected by and hosted on G2.com.

KA

Karim A.

Program Manager

Enterprise (> 1000 emp.)

8/8/2025

"Easy and Accurate Forecasting with TimeGPT: Ideal for Fast Prototyping"

5/5

What do you like best about Nixtla?

What I liked best about TimeGPT was its remarkable ease of implementation and fast prototyping capabilities. Setup was frictionless, allowing students to start making accurate forecasts within hours rather than days or weeks. The API integrates seamlessly with Python and Jupyter workflows, making it easy to incorporate into our existing curriculum. We used TimeGPT on a weekly basis throughout the semester, consistently benefiting from its fast, reliable results. This frequent use allowed us to focus on generating insights, evaluating models, and making informed decisions—without getting bogged down by complex traditional forecasting methods.

Thanks to TimeGPT, students graduate not only with theoretical knowledge but also with practical, production-ready forecasting skills that they can confidently apply in internships and real-world projects. The responsive customer support further ensured smooth adoption and quick problem resolution.

TimeGPT truly bridges the gap between academic learning and real-world application, preparing students to enter the workforce with a valuable, job-ready skill set. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

So far nothing ,everything has worked smoothly. Review collected by and hosted on G2.com.

What problems is Nixtla solving and how is that benefiting you?

What stands out about TimeGPT is how quickly and smoothly it can be adopted in an educational setting. Instead of spending excessive time on complex setups, students are able to dive right into forecasting tasks, producing meaningful results early on. Its integration with familiar tools like Python and Jupyter makes it straightforward to fit into our curriculum, and the platform’s consistent performance allowed us to rely on it regularly throughout the semester.

This frequent hands-on experience empowers students to develop not only theoretical understanding but also real-world forecasting skills that are immediately applicable during internships and projects. Furthermore, the helpful and responsive customer support played a key role in ensuring a seamless experience from onboarding to daily use.

Overall, TimeGPT effectively connects classroom theory with practical application, equipping students with the competencies they need to succeed in professional environments. Review collected by and hosted on G2.com.

LC

Lluis C.

Director of AI Engineering

Computer Software

Mid-Market (51-1000 emp.)

8/7/2025

"Having used many forecasting libraries, Nixtla has been the easiest to extend, integrate, and use"

5/5

What do you like best about Nixtla?

The Nixtlaverse uses a lot of best practices for software and ML that I love, with an easy-to-use API.

Examples include Conformal Prediction intervals, Probabilistic Adapters, Model Interpretability, and Horizontal/Distributed computing.

I also love the fact that MLForecast and NeuralForecast offer more than 30 SotA models.

And finally, I love the ease of use of TimeGPT. We are using it as one of the models in our proprietary library by self-hosting it in our infrastructure and have developed an API with Middleware to track its use and performance.

The Nixtla team has always been very helpful and responsive. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

I am being really picky with these, going for a 10 A+++ score, but:

https://github.com/microsoft/CBM remain unintegrated

Extending NeuralForecast is not the easiest.

SotA multivariate architectures scale poorly with the number of series. Not a Nixtla con per-se, but it has not been optimized. Review collected by and hosted on G2.com.

What problems is Nixtla solving and how is that benefiting you?

Nixtla is one of the libraries that we use to provide accurate forecasts and recommendations to our clients. We have a proprietary time series library with a custom interface that is able to extend open-source libraries.

TimeGPT is crucial for proofs-of-concept (very quick to integrate and use) and is also part of our model selection process, which tends to win against other ML/DL models when time series are on the shorter side.

Overall, the Nixtla ecosystem has made our library more accurate, faster, and easier to extend. Review collected by and hosted on G2.com.

UM

Verified User in Marketing and Advertising

Enterprise (> 1000 emp.)

7/29/2025

"Data Scientists Review of TimeGPT"

5/5

What do you like best about Nixtla?

TimeGPT has completely changed the way our data science team approaches time series forecasting. We used to spend hours building and tuning individual models, which wasn’t scalable across hundreds of series. With TimeGPT, we can now generate accurate forecasts in seconds - it’s dramatically increased our experimentation speed and let us deploy faster.

The ease of integration, zero manual hyperparameter tuning, and consistent performance across different datasets made it a clear fit. It’s rare to find a tool that’s both powerful and effortless to implement.

The Nixtla team was also incredibly responsive - they partnered with us closely to align the tool with our use case in pharma forecasting. Overall, TimeGPT has become a critical piece in our pipeline. Review collected by and hosted on G2.com.

What do you dislike about Nixtla?

I wish i had a little more integration with other platforms, like Snowflake/Tableau, although I have heard that it recently was included in Snowflake, but would love to able to use it dashboards! Review collected by and hosted on G2.com.