Add project metadata for uv-managed development environments

.gitignore

@@ -1,7 +1,9 @@
 /bazel-*
 /.idea
+.venv/
 .DS_Store
 *.pyc
 *.egg-info/
 *.swp
 node_modules
+uv.lock

DEVELOPMENT.md

@@ -23,6 +23,17 @@ $ source tf/bin/activate
 (tf)$ pip uninstall -y tb-nightly
 ```
 
+If you prefer [uv](https://github.com/astral-sh/uv), you can manage the same
+development environment from the repository root with:
+
+```sh
+$ uv sync --extra tensorflow
+$ uv run bazel run //tensorboard -- --logdir /path/to/logs
+```
+
+This gives `uv` enough project metadata to manage dependencies from the repo
+root, while still using Bazel for the actual TensorBoard build.
+
 TensorBoard builds are done with [Bazel](https://bazel.build), so you may need to [install Bazel](https://docs.bazel.build/versions/master/install.html). The Bazel build will automatically "vulcanize" all the HTML files and generate a "binary" launcher script. When HTML is vulcanized, it means all the script tags and HTML imports are inlined into one big HTML file. Then the Bazel build puts that index.html file inside a static assets zip. The python HTTP server then reads static assets from that zip while serving.
 
 You can build and run TensorBoard via Bazel (from within the TensorFlow nightly virtualenv) as follows:

pyproject.toml

@@ -1,3 +1,63 @@
+[build-system]
+requires = ["setuptools>=64", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "tensorboard"
+dynamic = ["version", "dependencies"]
+description = "TensorBoard lets you watch Tensors Flow"
+readme = {file = "tensorboard/pip_package/README.rst", content-type = "text/x-rst"}
+requires-python = ">=3.9"
+license = {text = "Apache 2.0"}
+authors = [{name = "Google Inc.", email = "packages@tensorflow.org"}]
+keywords = [
+    "tensorflow",
+    "tensorboard",
+    "tensor",
+    "machine learning",
+    "visualizer",
+]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "Intended Audience :: Education",
+    "Intended Audience :: Science/Research",
+    "License :: OSI Approved :: Apache Software License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3 :: Only",
+    "Topic :: Scientific/Engineering :: Mathematics",
+    "Topic :: Software Development :: Libraries",
+    "Topic :: Software Development :: Libraries :: Python Modules",
+]
+
+[project.scripts]
+tensorboard = "tensorboard.main:run_main"
+
+[project.entry-points."tensorboard_plugins"]
+projector = "tensorboard.plugins.projector.projector_plugin:ProjectorPlugin"
+
+[project.optional-dependencies]
+tensorflow = ["tf-nightly"]
+
+[tool.setuptools.dynamic]
+version = {attr = "tensorboard.version.VERSION"}
+dependencies = {file = ["tensorboard/pip_package/requirements.txt"]}
+
+[tool.setuptools.packages.find]
+include = ["tensorboard", "tensorboard.*"]
+exclude = ["tensorboard.pip_package", "tensorboard.pip_package.*"]
+
+[tool.setuptools.package-data]
+tensorboard = ["webfiles.zip"]
+"tensorboard.plugins.projector" = [
+    "tf_projector_plugin/index.js",
+    "tf_projector_plugin/projector_binary.html",
+    "tf_projector_plugin/projector_binary.js",
+]
+
 [tool.black]
 line-length = 80
 target-version = ["py36", "py37", "py38"]