awx vs llama_index
awx and llama_index share 18 technologies: psycopg, Redis, AIOHTTP, azure-identity, msal, cryptography, pyjwt, markupsafe, jinja2, jsonschema-specifications, referencing, jsonschema, opentelemetry-api, opentelemetry-semantic-conventions, prometheus-client, boto3, OpenTelemetry, and psutil. Both are written in Python.
What they share and what sets them apart
awx
AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform.
Python15.6kRead on November 8, 2026, at commit fe6cd9dWhat is awx built with?Only in awx
- Django
- hiredis
- s3transfer
- Postgres
- channels-redis
- gitdb
- asgiref
twisted
djangorestframework
- adal
- azure-keyvault-secrets
- msal-extensions
oauthlib
requests-oauthlib
- markdown
- nh3
- openapi-spec-validator
- azure-core
- msrestazure
opentelemetry-instrumentation
opentelemetry-instrumentation-logging
- python-daemon
- ansible-runner
- botocore
kubernetes
opentelemetry-exporter-otlp-proto-grpc
- opentelemetry-sdk
In common
llama_index
LlamaIndex is the document processing platform for AI
Python52.8kRead on November 5, 2026, at commit 444fdf0What is llama_index built with?Only in llama_index
starlette
- aiomysql
- aiosqlite
- async-lru
- asyncpg
- azure-search-documents
- azure-storage-blob
- ibm-db
- pgvecto-rs
pgvector
psycopg2-binary
- pyzmq
weaviate-client
pyarrow
lancedb
oracledb
- DuckDB
- pymilvus
- SQLite
- tablestore
chromadb
falkordb
- MySQL
pinecone
clickhouse-connect
- gcsfs
pyiceberg
pymochow
- pymysql
- pyobvector
- s3fs
- tcvectordb
typesense
- ElevenLabs
- anyio
- graphql-core
tornado
- Ray
- soupsieve
- tinycss2
- ipywidgets
- matplotlib-inline
prompt-toolkit
matplotlib
- Rich
- SQLAlchemy
- argon2-cffi
google-auth-httplib2
google-auth-oauthlib
- einops
firecrawl-py
- guardrails-ai
llama-index-core
- mem0ai
OpenAIopencv-python
- PaddlePaddle
- tavily-python
- torch
- transformers
- ibm-watsonx-ai
cohere
- LangChain
- tiktoken
- MCP
sentence-transformers
dashscope
- fastembed
- flagembedding
nltk
- sentencepiece
litellm
- ModelScope
- Ollama
- openvino
- scikit-learn
- tritonclient
- vLLM
- datasets
- exa-py
- flashrank
- hnswlib
langfuse
mlx
- mlx-lm
nomic
optimum
- paddleocr
peft
presidio-analyzer
tokenizers
- beautifulsoup4
- bleach
mistune
- nbformat
- newspaper3k
- xlrd
pillow
- bs4
- html2text
unstructured
- defusedxml
lxml
pymupdf
- filetype
- docx2txt
- markdownify
docling
- lxml-html-clean
- markitdown
- nbconvert
- pdf2image
- pdfplumber
pypdf
pypdf2
tinytag
- youtube-transcript-api
marshmallow
- rfc3339-validator
- Pydantic
docling-core
- annotated-types
- pydantic-core
- python-json-logger
- docker
- Alibaba Cloud
Side by side
Frequently asked questions
Which is bigger, awx or llama_index?
Which has more GitHub stars, awx or llama_index?
The proof: run-llama/llama_index on GitHub
Which has more tests, awx or llama_index?
Which was updated more recently, awx or llama_index?
The proof: ansible/awx's commits on GitHub
Which has more commits signed by AI, awx or llama_index?
The proof: the commits each tool signed in ansible/awx
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