Life & fun · alternatives · 2026

24 alternatives to Predictobot, predictive modeling made easy

Predictobot lets you build a predictive model without any programming. You upload a spreadsheet of data, specify the column you want to predict, and it automatically builds a predictive model for a regression or classification problem based on the other columns. You download a new spreadsheet, with the model right in the Excel formulas. That lets you make predictions going forward. Other services like this are really aiming at helping programmers to build models. I wanted to make something that a regular non-programmer could use, to get insight into their data. It is open for registration…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Predictobot, predictive modeling made easy launched in 2014; newer entries below may have overtaken it.

1
Predictive Analytics Tool▲92
Predictive analytics tooling without any programming needed
2021 · apps.microsoft.com · its alternatives →
2BP
Build predictive models with no prior ML experience▲70
TLDR: Product developers need tools designed for them to build ML models. We’d love for you to try a demo of Mage without needing to sign up: https://www.mage.ai/onboarding My name is Tommy DANGerous (or Tommy Dang) and I’m the CEO and co-founder at Mage. I worked at Airbnb for over 5 years as a product developer building features for guests. Mage is a web-based tool for building, training, and deploying ML models that make predictions based off your data. Training and using ML models in production typically requires working knowledge of building data pipelines, algorithms,…
2022 · its alternatives →
3
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
4
No Code AI Model Builder▲283
Create custom GPT-3 AI models in minutes, with No Code
2022 · its alternatives →
5
AI & Analytics Engine▲281
Build AI models and get predictions, no code required
2023 · mentana.ai · its alternatives →
6
Probly – Spreadsheets, Python, and AI in the browser▲171
Probly was built to reduce context-switching between spreadsheet applications, Python notebooks, and AI tools. It’s a simple spreadsheet that lets you talk to your data. Need pandas analysis? Just ask in plain English, and the code runs right in your browser. Want a chart? Just ask. While there are tools available in this space like TheBricks, Probly is a minimalist, open-source solution built with React, TypeScript, Next.js, Handsontable, Hyperformula, Apache Echarts, OpenAI, and Pyodide. It's still a work in progress, but it's already useful for my daily tasks.
2025 · github.com · its alternatives →
7
SpreadSimple 2.0▲295
The fastest way to build a website without code
2025 · spreadsimple.com · its alternatives →
8
Baserow▲341
Baserow 2.0 introduces workflow automations, the Kuma AI assistant, date dependencies, smarter AI fields, workspace search, and improved security with 2FA.
2022 · baserow.io · its alternatives →
9
Provide a CSV and a target field, generate a model and code to run it▲172
Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · its alternatives →
10
Delineate▲83
Activate your data's potential
2023 · its alternatives →
11
Analyzr▲79
Build machine learning models in minutes, with no coding
2023 · analyzr.ai · its alternatives →
12
MindsDB▲235
In-database machine learning
2022 · its alternatives →
13
ob1 by Outerbase▲280
Generate APIs, databases, and your backend with a prompt.
2023 · its alternatives →
14
Forecastr▲222
Get a great financial model, custom-built for your startup
2023 · forecastr.com · its alternatives →
15CA
Create AI Models from an Excel Spreadsheet▲22
2019 · getyantra.com · its alternatives →
16
LockedIn▲134
Fast, Accurate Forecasting with your Excel Data
2024 · app.roadmap-tech.com · its alternatives →
17
Compile ML models into dependency-free source code for easy deployment▲37
I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…
2023 · waveworks.dk · its alternatives →
18QB
Quickly build a production ready image classifier from your images▲142
2018 · blog.machinebox.io · its alternatives →
19
Sourcetable - AI spreadsheet▲49
We built what we're calling "operational spreadsheets" – spreadsheets that can actually execute actions across external systems, not just calculate and display data. The core idea: spreadsheets have been passive tools for 40 years. You put data in, formulas process it, you export it, manually move it somewhere else, repeat. We added bidirectional API integration with natural language commands, so the spreadsheet itself can send emails, update databases, orchestrate workflows across services – autonomously. Think of it as the evolution from VisiCalc → Excel → Google Sheets (multi-user) →…
2024 · sourcetable.com · its alternatives →
20
Python SDK – forecasting with foundation time-series and tabular models▲43
We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client
Dec 2025 · github.com · its alternatives →
21
Machine learning automation from creating to using models in production▲72
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
22
Elemeno AI-Ops▲67
Make machine learning work for you, not the other way around
2022 · amazonasweb.ro · its alternatives →
23DA
dstack – an open-source tool to build data applications easily▲134
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
24OS
Opstarts – Startup planning and forecasting without spreadsheets▲90
2014 · opstarts.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →