Software Alternatives, Accelerators & Startups

Fig Scripts VS Topolog

Compare Fig Scripts VS Topolog and see what are their differences

Build internal CLI tools, really fast

Topolog logo Topolog

Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them.
Visit Website
  • Fig Scripts Landing page
    Landing page //
    2023-02-08
  • Topolog IDE Canvas
    IDE Canvas //
    2026-06-08
  • Topolog Plan Cards
    Plan Cards //
    2026-06-08
  • Topolog Execute Page
    Execute Page //
    2026-06-08
  • Topolog Team Page
    Team Page //
    2026-06-08
  • Topolog Completion Spectrum
    Completion Spectrum //
    2026-06-08

Topolog turns any goal into a dependency graph and schedules your days around it. You get a structured plan, a completion spectrum, and a task list that adapts as you mark them done. Every plan is a real program, so the dates and odds are computed, not guessed.

Fig Scripts

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

Topolog

$ Details
paid Free Trial ยฃ22.49 / Monthly (Per Seat)
Platforms
Web
Release Date
2026 June
Startup details
Country
United Kingdom
Founder(s)
Rohith B.V.
Employees
1 - 9

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.

Topolog features and specs

  • Probabilistic Forecasting
    Monte Carlo simulation returns P50/P95 completion dates and a full date distribution, not a single deadline.
  • AI Plan Authoring
    Describe a goal in plain English and get a complete, structured plan drafted automatically.
  • Visual Plan Canvas
    Interactive node-graph editor with automatic layout for tasks, milestones, and dependencies.
  • Risk & Critical-Path Analysis
    See which tasks drive your timeline and where schedule risk concentrates.
  • Uncertainty Modeling
    Capture estimate ranges, probabilistic outcomes, and conditional gates on every task.
  • Iterations & Loops
    Model repeated work: fixed counts or "repeat until success", with true probabilistic loop lengths.
  • Budget & Money Modeling
    Tie spend to probability of success and track burn and runway alongside the schedule.
  • Capacity Scheduling
    Allocates work across people/agents by available capacity to produce realistic dates.
  • Execution Tracking
    Pick up and complete tasks; forecasts re-calibrate from real progress.
  • Plan Validation Engine
    Built-in correctness checks catch structural errors before a plan goes live.
  • Credit-Based Pricing
    Simple pay-per-plan credits: 100 credits per build.

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

Analysis of Topolog

Overall verdict

  • I don't have verified information about topolog.co.uk in my training data, so I can't confirm what the service does or vouch for its quality, reliability, or reputation. It may be a small, niche, or newer website that isn't well-documented in publicly available sources I was trained on.

Why this product is good

  • I have no confirmed details about this site's offerings, pricing, or user reviews
  • I cannot verify its legitimacy, security practices, or business registration
  • There is no independent feedback or rating data available to me for this domain

Recommended for

  • Users who can independently verify the site through reviews, WHOIS lookup, or trusted third-party sources before engaging
  • Anyone considering use of this site should check for HTTPS security, contact information, business registration, and recent user reviews on independent platforms like Trustpilot or Reddit

Fig Scripts videos

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

Add video

Topolog videos

Topolog - Plan in graphs. Execute in order.

More videos:

  • Review - Good topology is topology that gets the job done - not the prettiest looking.
  • Review - Is AI About to Master Topology? #ai #topology #3dart
  • Review - wtf is a topology?

Category Popularity

0-100% (relative to Fig Scripts and Topolog)
Productivity
100 100%
0% 0
Project Management
0 0%
100% 100
Web Icons
100 100%
0% 0
Project Planning
0 0%
100% 100

Questions & Answers

As answered by people managing Fig Scripts and Topolog.

What's the story behind your product?

Topolog's answer:

Built by a solo founder with 14 years across Meta, Media.net, Amazon and others. After watching countless projects miss deadlines, not from incompetence but from tools that gave one fake date, I set out to build a planning engine that takes uncertainty seriously. The result is Topolog: a formally total scheduling language, a deterministic Monte Carlo engine, and a Bayesian self-tuning scheduler. Built entirely solo with Claude Code and Devin as AI engineering partners. Zero VC, zero team, 100% ownership.

How would you describe the primary audience of your product?

Topolog's answer:

Anyone running a goal with real dependencies and real stakes: technical project managers, engineering managers, founders, and ambitious individuals planning complex personal projects like home renovations, album productions, or marathon training. The unifying characteristic is feeling the pain of planning tools that lie about deadlines. Topolog is for people who want to know their actual odds, not a false sense of certainty.

Why should a person choose your product over its competitors?

Topolog's answer:

Every other planning tool gives you one deadline, the one you'll miss. Topolog gives you the full picture: a dependency graph that knows what blocks what, a Monte Carlo completion spectrum showing your real odds, a critical path that updates as you execute, and a budget tracker tied directly to your probability of success. MS Project has critical path but no probabilistic engine. Monday and Asana have boards but no complete dependency model. AI tools hallucinate dates. Topolog computes them.

What makes your product unique?

Topolog's answer:

Topolog treats every plan as a program. Plans are written in TOL (Total Orchestration Language), a formally total, decidable language where the scheduler and Monte Carlo engine compute dates and probabilities deterministically. The AI drafts structure but never touches the maths. You get a completion spectrum (a probability distribution over outcomes), honest deadline ranges (a floor and a ceiling, never one date you'll miss), and a Bayesian self-tuning scheduler that learns your real pace from timestamps alone. The planning language is public, you can author plans with any AI and run them through Topolog's engine.

Which are the primary technologies used for building your product?

Topolog's answer:

Topolog is a TypeScript-first web app built around a custom stochastic-planning engine:

Frontend: Next.js 15 (App Router) with React 18 and TypeScript, styled with Tailwind CSS. The interactive plan canvas uses dagre / ELK (elkjs) for graph layout.

Core engine: an in-house DSL ("TOL") plus a Monte Carlo stochastic-forecasting engine, written in pure isomorphic TypeScript so it runs identically on the server and in the browser.

Backend & data: Supabase (PostgreSQL, auth, and SSR), with the API layer on Next.js route handlers. Stripe handles billing.

AI authoring: a model-router layer that calls GPT (OpenAI), and Mistral for plan authoring and review.

Infra & quality: deployed on Vercel (Analytics + Speed Insights), error monitoring via Sentry, and tested with Jest + Playwright.

User comments

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What are some alternatives?

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

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