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Autodistill Alternatives
Similar projects and alternatives to autodistill
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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cli
Official Command Line Interface for the IPinfo API (IP geolocation and other types of IP data) (by ipinfo)
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qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Metabase
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
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google-search-results-nodejs
SerpApi client library for Node.js. Previously: Google Search Results Node.js.
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Stream-Framework
Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:
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promptfoo
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
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instant
Instant is a modern Firebase. We make you productive by giving your frontend a real-time database.
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anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
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Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better autodistill alternative or higher similarity.
autodistill discussion
autodistill reviews and mentions
Posts with mentions or reviews of autodistill.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-01.
- Ask HN: Who is hiring? (April 2025)
- Ask HN: Who is hiring? (March 2025)
- Ask HN: Who is hiring? (February 2025)
- Ask HN: Who is hiring? (December 2024)
- Ask HN: Who is hiring? (November 2024)
- Ask HN: Who is hiring? (October 2024)
- Sam 2: Segment Anything in Images and Videos
- Ask HN: Who is hiring? (February 2024)
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Is supervised learning dead for computer vision?
The places in which a vision model is deployed are different than that of a language model.
A vision model may be deployed on cameras without an internet connection, with data retrieved later; a vision model may be used on camera streams in a factory; sports broadcasts on which you need low latency. In many cases, real-time -- or close to real-time -- performance is needed.
Fine-tuned models can deliver the requisite performance for vision tasks with relatively low computational power compared to the LLM equivalent. The weights are small relative to LLM weights.
LLMs are often deployed via API. This is practical for some vision applications (i.e. bulk processing), but for many use cases not being able to run on the edge is a dealbreaker.
Foundation models certainly have a place.
CLIP, for example, works fast, and may be used for a task like classification on videos. Where I see opportunity right now is in using foundation models to train fine-tuned models. The foundation model acts as an automatic labeling tool, then you can use that model to get your dataset. (Disclosure: I co-maintain a Python package that lets you do this, Autodistill -- https://github.com/autodistill/autodistill).
SAM (segmentation), CLIP (embeddings, classification), Grounding DINO (zero-shot object detection) in particular have a myriad of use cases, one of which is automated labeling.
I'm looking forward to seeing foundation models improve for all the opportunities that will bring!
- Ask HN: Who is hiring? (October 2023)
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A note from our sponsor - SaaSHub
www.saashub.com | 13 Jun 2025
Stats
Basic autodistill repo stats
20
2,284
6.4
about 1 month ago
autodistill/autodistill is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of autodistill is Python.
Sponsored
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InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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