Optic vs Telosys

Overview

Optic

Stacks4

Followers6

Votes8

GitHub Stars1.5K

Forks90

Telosys

Stacks12

Followers16

Votes44

GitHub Stars179

Forks26

Optic vs Telosys: What are the differences?

What is Optic? APIs that Document & Test Themselves. Optic is an open-source tool that automatically documents and tests your API. It makes it easy to keep your API specification and code in sync and automates your contract testing.

What is Telosys? Open Source code generator for any languages and frameworks. It is an Open Source code generator. It generates the plumbing and repetitive code for any kind of language. It has been designed to be light and very simple to use.

Optic and Telosys can be primarily classified as "Code Automation" tools.

Optic and Telosys are both open source tools. It seems that Optic with 195 GitHub stars and 8 forks on GitHub has more adoption than Telosys with 45 GitHub stars and 12 GitHub forks.

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Detailed Comparison

Optic	Telosys
Optic is an open-source tool that automatically documents and tests your API. It makes it easy to keep your API specification and code in sync and automates your contract testing.	It is an Open Source code generator. It generates the plumbing and repetitive code for any kind of language. It has been designed to be light and very simple to use.
-	Totally free and open source; Models and templates management; Code generation; Batch mode; Project booster
Statistics
GitHub Stars 1.5K	GitHub Stars 179
GitHub Forks 90	GitHub Forks 26
Stacks 4	Stacks 12
Followers 6	Followers 16
Votes 8	Votes 44
Pros & Cons
Pros 2 Test 2 API Versioning 2 Import / Export OpenAPI 2 Automated API Documentation	Pros 5 Simple and light 5 Free 5 Open source 5 Can generate any type of language 4 Easy setup
Integrations
No integrations available	PHP JavaScript Vue.js Node.js Python C# Spring Java Golang TypeScript

What are some alternatives to Optic, Telosys?

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fossabot

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Task

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Tabnine

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Galen

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BlueOptima

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FauxPilot

It is an attempt to build a locally hosted alternative to GitHub Copilot. It uses the SalesForce CodeGen models inside of NVIDIA's Triton Inference Server with the FasterTransformer backend.