ACE-Step-1.5 vs ray
ACE-Step-1.5 and ray share 19 technologies: FastAPI, diskcache, Lightning, uvicorn, Textual, Gradio, Rich, matplotlib, accelerate, torchvision, torch, transformers, einops, peft, safetensors, torchaudio, triton, diffusers, and torchcodec. Both are written in Python.
LinkedInWhat they share and what sets them apart
ace-step
ACE-Step-1.5
The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.
Python14.5kRead on November 9, 2026, at commit ca1e85fWhat is ACE-Step-1.5 built with?Only in ACE-Step-1.5
- triton-windows
mlx
- vector-quantize-pytorch
- flash-attn
torchao
- ModelScope
- mlx-lm
loguru
In common
ray-project
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python44.2kRead on November 6, 2026, at commit 77567c5What is ray built with?Only in ray
- amqp
- async-lru
- azure-common
- azure-datalake-store
- azure-storage-blob
confluent-kafka
expiringdict
- gitdb
google-cloud-core
h5py
kombu
pickleshare
- pylance
- pymongo
pyarrow
- aioboto3
- MongoDB
- Redis
- adlfs
- smart-open
pyiceberg
- pymysql
clickhouse-connect
deltalake
- gcsfs
- Celery
- fastavro
- pyzmq
- s3fs
webdataset
- Hugging Face
- Google Cloud Storage
- Kafka
- asgiref
- Flask
- flask-cors
- graphene
- graphql-core
graphql-relay
- jupyter-core
jupyterlab-server
werkzeug
- Ray
starlette
- AIOHTTP
- anyio
tornado
- React
react-router-dom
- alabaster
- cycler
fonttools
jupyterlab-pygments
pydata-sphinx-theme
- soupsieve
sphinx-design
- tinycss2
contourpy
- glfw
- jupyter-server-terminals
- jupyterlab-widgets
- matplotlib-inline
- Plotly
prompt-toolkit
pyopengl
- widgetsnbextension
- xyzservices
- ipywidgets
- pydot
- alembic
peewee
sqlglot
- SQLAlchemy
- argon2-cffi
- argon2-cffi-bindings
- azure-identity
- flask-basicauth
itsdangerous
joserfc
- jwcrypto
- keyring
- msal
- msal-extensions
- oauth2client
oauthlib
- pyjwt
requests-oauthlib
- cryptography
- albucore
- bitsandbytes
cmdstanpy
- crcmod
cupy-cuda12x
- fairscale
gradio-client
- gym
- LangChain
- llvmlite
lm-eval
- ml-dtypes
- MLflow
nltk
- ONNX
- onnxruntime
onnxscript
openai-whisper
- opt-einsum
- orbax-checkpoint
prophet
rouge-score
- sacrebleu
scikit-image
- sentencepiece
skops
tf-keras
- tiktoken
timm
tokenizers
torchtext
- gymnasium
- TensorFlow
jax
- xgboost
lightgbm
- scikit-learn
- datasets
- pytorch-lightning
evaluate
flax
- Keras
- torchmetrics
albumentations
deepspeed
- hyperopt
- Optuna
- pettingzoo
tensordict
tensorflow-datasets
tensorflow-probability
- bleach
- defusedxml
et-xmlfile
imageio
imageio-ffmpeg
- imagesize
- jsonlines
- linkify-it-py
lxml
- mako
- markdown
markdown-it-py
markupsafe
- mdurl
mistune
- moviepy
- nbconvert
- nh3
- openpyxl
- pandocfilters
ruamel-yaml
webencodings
- xlrd
- xmltodict
pillow
- docutils
- jinja2
- beautifulsoup4
av
- nbformat
- annotated-types
- fastjsonschema
- fqdn
- jsonschema-specifications
- pathvalidate
- pydantic-core
- referencing
- rfc3339-validator
- rfc3986
- rfc3986-validator
- validators
- Pydantic
- jsonschema
- openapi-schema-validator
- aiobotocore
- azure-mgmt-compute
- azure-mgmt-resource
- colorlog
- Gunicorn
- opentelemetry-api
opentelemetry-instrumentation
- opentelemetry-semantic-conventions
- python-json-logger
psutil
- boto3
- botocore
prometheus-client
- OpenTelemetry
kubernetes
opentelemetry-exporter-prometheus
- docker
- typeface-roboto
- MUI
usehooks-ts
- lowlight
react-window
react-icons
- @mui/icons-material
- js-yaml
Side by side
ACE-Step-1.5ray
SizeLines written by people and agents, without generated ones; code files, without tests.
ACE-Step-1.5126,537 lines written410 code files
ray1,531,664 lines written2,777 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
ACE-Step-1.535.8% of its commits signed by AIWith Claude Code, GitHub Copilot, Cursor, Codex, Jules, and CodeRabbit
ray3.6% of its commits signed by AIWith Claude Code, Gemini CLI, GitHub Copilot, Cursor, and Codex
ActivityFrom GitHub and its history, on the day SeeRepo read it.
ACE-Step-1.5Last push November 8, 20261,104 commits14,532 stars
rayLast push November 6, 202632,373 commits44,213 stars
TestsThe files that test the code, and the share of code files a test imports.
ACE-Step-1.5190 test files46.8% of its code files have a test that imports them
ray2,168 test files9.7% of its code files have a test that imports them
Frequently asked questions
Which is bigger, ACE-Step-1.5 or ray?
ray, with 1,531,664 lines written; ACE-Step-1.5 has 126,537.
The proof: ray-project/ray's code at commit 77567c5
Which has more GitHub stars, ACE-Step-1.5 or ray?
ray, with 44,213 stars; ACE-Step-1.5 has 14,532.
The proof: ray-project/ray on GitHub
Which has more tests, ACE-Step-1.5 or ray?
ray, with 2,168 test files; ACE-Step-1.5 has 190.
The proof: ray-project/ray's code at commit 77567c5
Which was updated more recently, ACE-Step-1.5 or ray?
ACE-Step-1.5: its last push was on November 8, 2026, and ray's on November 6, 2026.
The proof: ace-step/ACE-Step-1.5's commits on GitHub
Which has more commits signed by AI, ACE-Step-1.5 or ray?
ACE-Step-1.5: an AI signed 35.8% of its commits, with Claude Code, GitHub Copilot, Cursor, Codex, Jules, and CodeRabbit; in ray, 3.6%.
The proof: the commits each tool signed in ace-step/ACE-Step-1.5
See inside your code, today.
Paste your repo and see it drawn, part by part: a medium one in under a minute.
Free, no account.
