Software Alternatives, Accelerators & Startups

Seedfast VS Fig Scripts

Compare Seedfast VS Fig Scripts and see what are their differences

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Seedfast logo Seedfast

Realistic, relational Postgres test data โ€” generated from your schema alone. No production access, no PII risk, no fragile seed scripts. Point Seedfast at your database, describe the scenario, and get a fully populated DB in one CLI command.
Build internal CLI tools, really fast
  • Seedfast Seedfast โ€” synthetic test data from your live Postgres schema
    Seedfast โ€” synthetic test data from your live Postgres schema //
    2026-07-31
  • Seedfast Seedfast CLI in action โ€” seeding a Postgres database
    Seedfast CLI in action โ€” seeding a Postgres database //
    2026-07-31

The wall

Every team with a real Postgres schema eventually hits the same wall: you need a populated database to develop, test, and demo โ€” but you can't use production data. Either it's regulated (PII, PCI, HIPAA), or the company doesn't exist yet, or your distributed team isn't cleared to touch it.

The existing options are all bad:

  • Anonymization tools start at $200K/year and take weeks to set up
  • Seed scripts are fragile, break on every migration, and fill up with test@test.com
  • Faker / Mockaroo have no foreign key awareness โ€” falls apart past 10 related tables

The third option

Seedfast: realistic, relational data generated from your schema alone, no production access required.

Point Seedfast at your live Postgres, give it a natural-language scope (for example, "fintech app with 100 accounts, transactions, and varied balances"), and it fills your database in one CLI command. Foreign keys resolve automatically. Values are domain-appropriate โ€” names look like names, transactions look like transactions, dates make sense. The same tool works for 10 rows in a unit test and hundreds of thousands in a load test.

Because nothing ever connects to production, there's no PII pipeline to maintain, no security review to clear, no compliance risk to mitigate. The compliance problem doesn't exist instead of being solved.

Who it's for

Teams that can't use production data:

  • Regulated industries โ€” fintech, healthcare, anyone under GDPR / HIPAA / SOC 2
  • Early-stage teams without production data yet
  • Distributed teams where not every engineer is cleared for prod
  • Engineering teams of 5โ€“50 โ€” too small for enterprise TDM, too complex for hand-written seed scripts

Also a strong fit for any team with 20+ tables and a seed file that's quietly become tech debt nobody wants to own.

Postgres-first CLI, runs anywhere you can run a binary.

seedfast seed !

  • Fig Scripts Landing page
    Landing page //
    2023-02-08

Seedfast

Website
seedfa.st
$ Details
paid Free Trial $8.0 / Monthly (Basic)
Platforms
Windows Linux MacOS
Release Date
2025 November
Startup details
Country
Slovakia
City
Bratislava
Founder(s)
Danylo Zahorulko, Mikhail Shytsko, Dmytro Tymenko
Employees
1 - 9

Fig Scripts

Website
fig.io
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Seedfast features and specs

  • Large-volume seeding
    From a handful of rows to millions, described in plain English
  • Data realism
    Domain-aware values inferred from your schema, not random placeholders
  • CLI
    Cross-platform command line tool
  • MCP integration
    Seed from Claude, Cursor, or VS Code with agents.
  • CI/CD mode
    One line in GitHub Actions or GitLab CI, authenticated via API key
  • Secure by design
    Production data is never used, never at risk
  • Scoping
    Natural-language description of what data you need
  • Direct DB writes
    Data goes straight into your tables, local or remote

Fig Scripts features and specs

  • Pre-built automation scripts
    Fig Scripts provides a library of pre-built scripts that help developers automate common tasks, saving significant time on repetitive terminal workflows without needing to write scripts from scratch.
  • Easy integration with the terminal
    Fig Scripts integrates seamlessly with the terminal environment, allowing users to run and manage scripts directly within their existing workflow without needing to switch between tools or interfaces.
  • Community-driven collection
    The scripts are community-driven, meaning developers can benefit from the collective knowledge and contributions of other developers, gaining access to a diverse range of useful automation solutions.
  • Customizable and extensible
    Users can modify existing scripts or create their own to fit specific use cases, making the tool flexible enough to accommodate a wide variety of development workflows and personal preferences.
  • Developer-focused design
    Fig Scripts is built specifically for developers, so the scripts and tooling are tailored to common development tasks like Git operations, environment setup, deployment, and other engineering-centric workflows.

Possible disadvantages of Fig Scripts

  • Limited platform support
    Fig was historically focused on macOS, which limited its availability to developers working on Linux or Windows platforms, reducing its appeal for cross-platform teams.
  • Dependency on Fig ecosystem
    Using Fig Scripts often requires having the broader Fig (now acquired by AWS and rebranded) tooling installed, creating a dependency on an external ecosystem that may change or be discontinued.
  • Uncertain future after acquisition
    After Fig was acquired by Amazon and integrated into AWS, the future direction and continued support of Fig Scripts became uncertain, raising concerns about long-term reliability for users who depend on it.
  • Limited script discoverability
    Finding the right script for a specific use case can be challenging, as the library may not be as well-organized or searchable as more mature package managers or script repositories.
  • Learning curve for customization
    While pre-built scripts are easy to use, customizing or creating new scripts requires understanding Fig's specific configuration format and conventions, which adds a learning curve beyond standard shell scripting.

Analysis of Fig Scripts

Overall verdict

  • Fig Scripts, part of the Fig platform, was a well-regarded tool for terminal autocomplete and productivity, though it's important to note that Fig was acquired by AWS in 2023 and its standalone product was eventually sunset, with much of its technology being integrated into Amazon Q Developer (formerly CodeWhisperer/CLI). If you're referring to the legacy Fig tool, it was generally well-liked for its user-friendly approach to terminal enhancement.

Why this product is good

  • Provided IDE-style autocomplete for hundreds of CLI tools directly in the terminal
  • Easy to install and integrated seamlessly with existing shell environments like bash, zsh, and fish
  • Offered a visual, intuitive interface for command discovery without needing to leave the terminal
  • Supported scripting and customization for teams to build their own autocomplete specs
  • Had a strong open-source community contributing autocomplete definitions for various tools

Recommended for

  • Developers who spend significant time in the terminal and want to reduce typing errors
  • Teams looking to standardize CLI usage with custom autocomplete scripts
  • New developers learning complex CLI tools who benefit from visual command suggestions
  • Users who prioritize terminal productivity and efficiency
  • Those already using AWS tools who might now prefer transitioning to Amazon Q Developer for similar functionality

Seedfast videos

Seedfast Demo | AI-powered CLI tool for effortless database seeding

Fig Scripts videos

No Fig Scripts videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Seedfast and Fig Scripts)
Test Data Generator
100 100%
0% 0
Productivity
0 0%
100% 100
Databases
100 100%
0% 0
Web Icons
0 0%
100% 100

Questions & Answers

As answered by people managing Seedfast and Fig Scripts.

What makes your product unique?

Seedfast's answer

Seedfast is schema-driven by design. Point it at your Postgres database and it generates realistic, relational data โ€” written directly into your live tables, with triggers firing correctly, constraints staying valid, and foreign keys resolved across the entire database. Complex schema features (views, JSON fields, enums, deep multi-level relations) are handled natively. One CLI command. No production access required, no seed scripts to maintain, no PII risk.

Why should a person choose your product over its competitors?

Seedfast's answer

Simplicity. One CLI command, no config files, no dashboards, nothing to maintain. Connect your database, describe what you need in plain English, and the data lands in your tables โ€” usually under two minutes from install to a seeded database. Same command whether you need 10 rows for a unit test or 500,000 for a load testing.

How would you describe the primary audience of your product?

Seedfast's answer

Developers in compliance-regulated environments who can't use production data, and anyone tired of writing and maintaining seed scripts. The common thread: they want realistic, relational data without the setup tax.

What's the story behind your product?

Seedfast's answer

We were tired of maintaining seed scripts. Every migration broke them, the data looked fake, and we were burning hours every week on something that should've been a non-problem.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Seedfast and Fig Scripts

Seedfast Reviews

MCP Servers for Test Data: What Exists and What Each One Does
Strip the 870-server shelf down and it sorts into two piles. Almost everything is an access MCP that reads a database already holding rows. A handful generate the rows instead โ€” Seedfast in place on your own database, Fabricate through its hosted agent, a few open-source servers if you'd rather self-host and vet the code. If the problem you keep hitting is the empty schema...
Source: dev.to

Fig Scripts Reviews

We have no reviews of Fig Scripts yet.
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What are some alternatives?

When comparing Seedfast and Fig Scripts, you can also consider the following products

Mockaroo - A realistic data generator to test your app

Icons8 - Free app for Mac & Windows already containing 39,800 icons. Allows to search and import iconsโ€ฆ

Tonic AI - The fake data company

SeedAI - Realistic test data for your Supabase database.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Oracle NetSuite - NetSuite is the leading integrated cloud business software suite, including business accounting, ERP, CRM and ecommerce software.