CortexTheseus VS aqueduct

Compare CortexTheseus vs aqueduct and see what are their differences.

CortexTheseus

Cortex - AI on Blockchain, Official Golang implementation (by CortexFoundation)

aqueduct

Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure. (by RunLLM)
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CortexTheseus aqueduct
3 2
114 521
0.0% 0.0%
9.8 8.7
3 days ago 11 months ago
Go Go
GNU Lesser General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CortexTheseus

Posts with mentions or reviews of CortexTheseus. We have used some of these posts to build our list of alternatives and similar projects.

aqueduct

Posts with mentions or reviews of aqueduct. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.
  • Aqueduct: Take Data Science to Production
    2 projects | news.ycombinator.com | 19 Oct 2022
    Hi everyone!

    We've been working on making data teams more productive with Aqueduct for over a year, and we're really excited to share what we've been building.

    There's a large (and growing!) number of programmers in the world who understand data and can solve business problems but don't want to spend their time wrangling low-level cloud infrastructure to get their work into the cloud. The existing MLOps tools that claim to solve this problem have been built by & for software teams, and they're incredibly complicated.

    With Aqueduct, we've built a tool that's designed for data teams and abstracts away the underlying infrastructure. Aqueduct has a simple Python API that allows you to define a workflow as a composition of Python functions. Those workflows can be easily connected to data sources and can be run anywhere from your laptop to a Kubernetes cluster in the cloud. Once a workflow's running, Aqueduct has lightweight hooks to compute metrics and run tests over your pipelines to ensure they're producing high-quality results.

    To learn more about what we're building, check out our GitHub repo or join our community Slack:

    https://github.com/aqueducthq/aqueduct

What are some alternatives?

When comparing CortexTheseus and aqueduct you can also consider the following projects:

bittensor - Internet-scale Neural Networks

llama2.go - LLaMA-2 in native Go

VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database

sematic - An open-source ML pipeline development platform

numberlink - Program for generating and solving numberlink / flow free puzzles

fullnamematchscore-go - Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge

mllint - `mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

olivia - 💁‍♀️Your new best friend powered by an artificial neural network

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!