diff --git a/README.md b/README.md
index f3b4a5d142..bd17363315 100644
--- a/README.md
+++ b/README.md
@@ -489,7 +489,7 @@ _Libraries for data analysis._
 _Libraries for validating data. Used for forms in many cases._
 
 - [cerberus](https://github.com/pyeve/cerberus) - A lightweight and extensible data validation library.
-- [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](http://json-schema.org/) for Python.
+- [jsonschema](https://github.com/python-jsonschema/jsonschema) - An implementation of [JSON Schema](https://json-schema.org/) for Python.
 - [pandera](https://github.com/unionai-oss/pandera) - A data validation library for dataframes, with support for pandas, polars, and Spark.
 - [pydantic](https://github.com/pydantic/pydantic) - Data validation using Python type hints.
 - [voluptuous](https://github.com/alecthomas/voluptuous) - A Python data validation library primarily intended for validating data from untrusted sources.
@@ -512,7 +512,7 @@ _Libraries for visualizing data. Also see [awesome-javascript](https://github.co
   - [vispy](https://github.com/vispy/vispy) - High-performance scientific visualization based on OpenGL.
 - Specialized
   - [cartopy](https://github.com/SciTools/cartopy) - A cartographic python library with matplotlib support.
-  - [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](http://www.graphviz.org/).
+  - [pygraphviz](https://github.com/pygraphviz/pygraphviz/) - Python interface to [Graphviz](https://www.graphviz.org/).
 - Dashboards and Apps
   - [gradio](https://github.com/gradio-app/gradio) - Build and share machine learning apps, all in Python.
   - [streamlit](https://github.com/streamlit/streamlit) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes.
@@ -744,6 +744,7 @@ _Libraries for working with task queues._
 - [dramatiq](https://github.com/Bogdanp/dramatiq) - A fast and reliable background task processing library for Python 3.
 - [huey](https://github.com/coleifer/huey) - Little multi-threaded task queue.
 - [rq](https://github.com/rq/rq) - Simple job queues for Python.
+- [taskiq](https://github.com/taskiq-python/taskiq) - Distributed task queue with native asyncio support and pluggable brokers.
 
 ### Messaging
 
@@ -840,7 +841,7 @@ _Libraries for working with graphical user interface applications._
   - [nicegui](https://github.com/zauberzeug/nicegui) - An easy-to-use, Python-based UI framework, which shows up in your web browser.
   - [pywebview](https://github.com/r0x0r/pywebview/) - A lightweight cross-platform native wrapper around a webview component.
 - Terminal
-  - [curses](https://docs.python.org/3/library/curses.html) - (Python standard library) The built-in wrapper for [ncurses](http://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
+  - [curses](https://docs.python.org/3/library/curses.html) - (Python standard library) The built-in wrapper for [ncurses](https://www.gnu.org/software/ncurses/) used to create terminal GUI applications.
   - [urwid](https://github.com/urwid/urwid) - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
 - Wrappers
   - [gooey](https://github.com/chriskiehl/Gooey) - Turn command line programs into a full GUI application with one line.
@@ -949,6 +950,7 @@ _Libraries for manipulating images._
 _Libraries for manipulating audio, video, and their metadata._
 
 - Audio
+  - [birdnet](https://github.com/kahst/BirdNET-Analyzer) - Deep learning framework for acoustic species detection; identifies bird species from audio recordings using TensorFlow.
   - [gtts](https://github.com/pndurette/gTTS) - Python library and CLI tool for converting text to speech using Google Translate TTS.
   - [librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
   - [matchering](https://github.com/sergree/matchering) - A library for automated reference audio mastering.
@@ -1132,7 +1134,7 @@ Where to discover learning resources or new Python libraries.
 
 ### Newsletters
 
-- [Awesome Python Newsletter](http://python.libhunt.com/newsletter)
+- [Awesome Python Newsletter](https://python.libhunt.com/newsletter)
 - [Pycoder's Weekly](https://pycoders.com/)
 - [Python Tricks](https://realpython.com/python-tricks/)
 - [Python Weekly](https://www.pythonweekly.com/)