AI · alternatives · 2026

24 alternatives to Deep Learning Platform (DLP)

Software for DL application development without coding.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Deep Learning Platform (DLP) launched in 2018; newer entries below may have overtaken it.

1
DLP (Deep Learning Platform)▲4
Build Deep Learning Models without writing codes.
2020 · ai-dlp.com · its alternatives →
2
Lobe▲1,236
Visual tool for building custom deep learning models
2018 · github.com · its alternatives →
3
Diffgram▲104
Learn to work with deep learning without code
2019 · github.com · its alternatives →
4DL
Deep Learning GUI to Create, Train and Visualize Models in a Browser▲216
2019 · beta.aifiddle.io · its alternatives →
5
co.dev▲712
Turn your ideas into full-stack apps
2025 · co.dev · its alternatives →
6
Datature▲271
No-code platform for building deep neural nets
2021 · datature.io · its alternatives →
7
TensorFlow 1.0▲823
Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
8
DeepLobe▲94
Your no-code machine learning platform
2021 · deeplobe.ai · its alternatives →
9
I trained a deep learning model to build sites for me▲397
2019 · zecoda.com · its alternatives →
10
Depth AI▲231
AI that deeply understands your codebase
2024 · its alternatives →
11
Directual▲390
Power of coding in No-code format
2021 · directual.com · its alternatives →
12
MakeML▲274
Train Neural Networks without a line of code
2019 · makeml.app · its alternatives →
13
CTO.ai▲393
Build, share & run developer workflows in the CLI + Slack
2020 · cto.ai · its alternatives →
14
Igel – A CLI tool to run machine learning without writing code▲405
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
15
Floyd▲469
Heroku for deep learning
2017 · blog.floydhub.com · its alternatives →
16
DeepForge – A Modern Development Environment for Deep Learning▲108
APG9 hadir sebagai zona gaming terbaik dengan peluang menang besar dan bonus dahsyat di setiap putaran. Rasakan sensasi cuan sekarang juga!.
2017 · deepforge.org · its alternatives →
17
DeepSource▲151
Continuous code quality platform for developers and teams
2019 · app.deepsource.com · its alternatives →
18
Cerebrium▲300
If you haven’t noticed, GPUs are scarce right now. The global boom in inference has demand growing faster than supply can keep up, and at Cerebrium ...
2024 · cerebrium.ai · its alternatives →
19
Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80
An on-premises, bare-metal solution for deploying GPU-powered applications in containers - emergingstack/es-dev-stack
2016 · github.com · its alternatives →
20
TensorZero▲307
Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
21QB
Quickly build a production ready image classifier from your images▲142
2018 · blog.machinebox.io · its alternatives →
22
Set of trained deep learning models for computer vision▲127
Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models
2016 · github.com · its alternatives →
23
Cortex▲81
Deploy, manage, and scale machine learning applications
2019 · its alternatives →
24
Deepkit▲69
The collaborative and analytical AI training suite
2020 · deepkit.ai · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →