app.py

import streamlit as st
st.markdown("""


| Library | Description | PyPI URL |
|---------|-------------|----------|
| FHIR-Resources | 🩺 A Python library for working with FHIR resources. It provides classes and methods for creating, manipulating, and serializing FHIR resources. | https://pypi.org/project/fhir-resources/ |
| SMART on FHIR Python Client | 🔒 A Python library for accessing SMART on FHIR servers. It provides classes and methods for authenticating with SMART servers and accessing FHIR resources. | https://pypi.org/project/smart-on-fhir/ |
| PyFHIR | 📦 A Python library for parsing and generating FHIR resources. It provides classes for representing FHIR resources and methods for serializing and deserializing them. | https://pypi.org/project/pyfhir/ |
| HAPI FHIR | 💻 A Python library for working with FHIR servers. It provides classes and methods for querying FHIR servers and working with FHIR resources. | https://pypi.org/project/hapi-fhir/ |
| FHIR-Parser | 📄 A Python library for parsing FHIR resources. It provides a parser class for deserializing FHIR resources. | https://pypi.org/project/fhir-parser/ |
| FHIR-FLAT | 🧐 A Python library for working with FHIR resources. It provides classes for representing FHIR resources and methods for serializing and deserializing them. | https://pypi.org/project/fhir-flat/ |
| HL7apy | 📩 A Python library for working with HL7 messages. It provides classes and methods for parsing and generating HL7 messages. | https://pypi.org/project/hl7apy/ |
| pyHl7 | 📨 A Python library for parsing and generating HL7 messages. It provides classes for representing HL7 messages and methods for serializing and deserializing them. | https://pypi.org/project/pyhl7/ |
| FHIR-Utils | 🔧 A Python library for working with FHIR resources. It provides utility functions for common FHIR tasks. | https://pypi.org/project/fhir-utils/ |

""")

import streamlit as st

# Angular libraries
st.header("Angular Libraries")
st.write("Here are some popular Angular libraries:")

st.markdown("- [ngx-charts](https://www.npmjs.com/package/@swimlane/ngx-charts)")
st.markdown("- [angular-material](https://material.angular.io/)")

# Node.JS libraries
st.header("Node.JS Libraries")
st.write("Here are some popular Node.JS libraries:")

st.markdown("- [express](https://expressjs.com/)")
st.markdown("- [axios](https://www.npmjs.com/package/axios)")

# Docker libraries
st.header("Docker Libraries")
st.write("Here are some popular Docker libraries:")

st.markdown("- [docker-py](https://pypi.org/project/docker/)")
st.markdown("- [docker-compose](https://docs.docker.com/compose/)")

# Kubernetes libraries
st.header("Kubernetes Libraries")
st.write("Here are some popular Kubernetes libraries:")

st.markdown("- [kubernetes](https://pypi.org/project/kubernetes/)")
st.markdown("- [kubeflow](https://www.kubeflow.org/)")

# GraphQL libraries
st.header("GraphQL Libraries")
st.write("Here are some popular GraphQL libraries:")

st.markdown("- [graphene](https://pypi.org/project/graphene/)")
st.markdown("- [graphql-core](https://pypi.org/project/graphql-core/)")

# PostgreSQL libraries
st.header("PostgreSQL Libraries")
st.write("Here are some popular PostgreSQL libraries:")

st.markdown("- [psycopg2](https://pypi.org/project/psycopg2/)")
st.markdown("- [sqlalchemy](https://pypi.org/project/SQLAlchemy/)")

# Snowflake libraries
st.header("Snowflake Libraries")
st.write("Here are some popular Snowflake libraries:")

st.markdown("- [snowflake-connector-python](https://pypi.org/project/snowflake-connector-python/)")
st.markdown("- [snowflake-sqlalchemy](https://pypi.org/project/snowflake-sqlalchemy/)")

# AI libraries
st.header("AI Libraries")
st.write("Here are some popular AI libraries:")

st.markdown("- [tensorflow](https://pypi.org/project/tensorflow/)")
st.markdown("- [scikit-learn](https://pypi.org/project/scikit-learn/)")