Dev tools · alternatives · 2026
24 alternatives to Plait.py – a fake data modeler
plait.py - a fake data modeler . Contribute to plaitpy/plaitpy development by creating an account on GitHub.
Plait.py is a fake data modeler that generates synthetic data for testing and development purposes. It's designed for developers and QA engineers who need realistic test datasets without using production data. The tool… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Plait.py – a fake data modeler launched in 2018; newer entries below may have overtaken it.
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DataFairy▲113Generate real looking fake data for your tests and demos
2018 · skillpanel.com · its alternatives →
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Originality▲419ChatGPT AI content detector & a modern plagiarism checker
2023 · originality.ai · its alternatives →
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Sampling profiler for Python programs. Contribute to benfred/py-spy development by creating an account on GitHub.
2018 · github.com · its alternatives →
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Go (Golang) Fake Data Generator for Struct. [Notes]This repository is archived, moved to the new repository https://github.com/go-faker/faker - bxcodec/faker
2019 · github.com · its alternatives →
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Think ChatGPT but personalized, real time, fact-checked
2023 · longshot.ai · its alternatives →
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Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…
2023 · colab.research.google.com · its alternatives →
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Documentation for the Pydantic stack. Validate data with Pydantic Validation, build production AI agents with Pydantic AI, and monitor LLM calls, agent behavior, and costs with Pydantic Logfire.
2017 · pydantic-docs.helpmanual.io · its alternatives →
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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 →
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Accelerate your vision AI model creation!
2022 · syntheticaidata.com · its alternatives →
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A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022 · its alternatives →
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Generate customized, realistic mock data & APIs, via GPT
2023 · its alternatives →
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PySchemes is a library for validating data structures in python - spy16/pyschemes
2017 · github.com · its alternatives →
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FakerDB▲15Helps developers generate quick test data for SQL Databases.
2025 · fakerdb.vercel.app · its alternatives →
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Simple Python Calculation Engine. Contribute to bsdz/calcengine development by creating an account on GitHub.
2021 · github.com · its alternatives →
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- 20SU
2010 · pyspread.sourceforge.net · its alternatives →
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Hi, everyone! Lately, I've been working on quite a few applications that require a database, and as a result, I need some data to test everything. It has always taken me a lot of time to ask ChatGPT to generate fake data for me, so I decided to create a tool for developers called FakeData. FakeData allows developers to generate fake data easily with a simple UI/UX and customizable fields. This data can be used in their applications to test various functionalities. P.S. The app is not yet finished, and I would love to hear your honest feedback on it. Please be brutally honest about what…
2025 · fakedata-mu.vercel.app · its alternatives →
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A simple polymorphic engine. Contribute to 0x5FC3/spe.py development by creating an account on GitHub.
2021 · github.com · its alternatives →
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FakerForge — AI-Powered Dummy Data Generator
Jan 2026 · fakerforge.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 →