t-linter 🐍✨

Intelligent syntax highlighting, validation, and formatting for Python template strings (PEP 750).

📣 💼 Maintainer update: Open to opportunities. 🔗 koxudaxi.dev

📖 Documentation

👉 t-linter.koxudaxi.dev

• 📦 Installation - PyPI, VSCode Extension, Build from source
• 🔍 Check Command - CLI validation & output formats
• 🧹 Format Command - Canonical formatting for supported templates
• 🖥️ LSP Server - Editor integration (VSCode, Claude Code, Codex, Neovim, etc.)
• ⚙️ Configuration - pyproject.toml & ignore files
• 🌐 Supported Languages - HTML, T-HTML, TDOM, SQL, JS, CSS, JSON, YAML, TOML

Overview

t-linter validates and formats embedded languages inside Python template strings (PEP 750). Built with Rust and Tree-sitter for speed, it ships as a single binary that works as both a CLI tool and an LSP server.

• t-linter check — validate template string syntax
• t-linter format — canonically reformat supported template literals
• t-linter lsp — start the Language Server Protocol server for editor integration

Features

• 🔍 Linting - Detect syntax errors in embedded HTML, JSON, YAML, TOML, CSS, JavaScript, SQL
• 🧹 Formatting - Canonical formatting for HTML, T-HTML, TDOM, JSON, YAML, TOML templates
• 🎨 Syntax Highlighting - Smart highlighting via LSP semantic tokens
• 🔧 Type-based Detection - Understands Annotated[Template, "html"] and type aliases
• 🧪 Interpolation Type Checking - Optional LSP diagnostics for JSON, YAML, TOML interpolation values and TDOM component prop interpolations through Ty, Pyright, or Pyrefly
• 🧩 Callee Inference - Detects backend languages from helpers such as tdom.html(...)
• 🚀 Fast - Single Rust binary with Tree-sitter parsers

Supported Languages

For HTML, T-HTML, TDOM, JSON, YAML, and TOML, t-linter uses dedicated Rust backends (tstring-* crates) for strict validation and canonical formatting. CSS, JavaScript, and SQL use Tree-sitter for syntax validation and highlighting.

Installation

PyPI (Recommended)

pip install t-linter

Or add to your project's dependencies:

# Using uv (recommended)
uv add t-linter

# Or using pip with requirements.txt
echo "t-linter" >> requirements.txt
pip install -r requirements.txt

This provides the t-linter CLI tool and LSP server.

→ View on PyPI

VSCode Extension

If you use VSCode, install the extension for seamless editor integration:

1. Open VSCode → Extensions (Ctrl+Shift+X / Cmd+Shift+X)
2. Search for "t-linter" → Install "T-Linter" by koxudaxi
3. On Linux x64, macOS x64/arm64, and Windows x64, the extension bundles the t-linter binary, so no separate PyPI install is required.
4. On unsupported platforms, or if you want to override the bundled binary, install t-linter via PyPI (see above) and set t-linter.serverPath to the full executable path.
5. Choose one save-time formatting mode:
   • Ruff coexistence mode keeps Ruff as the Python formatter and runs t-linter through source.fixAll.t-linter:

     {
       "[python]": {
         "editor.defaultFormatter": "charliermarsh.ruff",
         "editor.formatOnSave": true,
         "editor.codeActionsOnSave": {
           "source.fixAll.t-linter": "explicit"
         }
       }
     }
     

   • t-linter formatter mode keeps the existing formatter-only workflow:

     {
       "[python]": {
         "editor.defaultFormatter": "koxudaxi.t-linter",
         "editor.formatOnSave": true
       }
     }
     

     Set "t-linter.format.runRuffPipeline": true if you want this formatter mode to run Ruff fixAll, import organization, Ruff formatting, and then t-linter in one composed formatting transaction. VSCode only allows one default formatter per language, which is why t-linter also exposes a save-time code action lane for template-string formatting.
6. If semantic highlighting conflicts with another Python extension, set the Python language server to "None" in your workspace settings:

   {
       "python.languageServer": "None"
   }
   

   If you need those features, you can keep the Python language server enabled. t-linter will still provide template-string diagnostics, code actions, and formatting, though semantic highlighting may conflict.

If you use an external t-linter binary and it is not in your PATH, set t-linter.serverPath in VSCode settings to the full path of the executable.

→ Install from VSCode Marketplace

Build from Source

git clone https://github.com/koxudaxi/t-linter
cd t-linter
cargo install --path crates/t-linter

Usage

Check

Validate template strings for syntax errors:

# Check a single file
t-linter check file.py

# Check a directory
t-linter check src/

# Output formats: human (default), json, github
t-linter check file.py --format json
t-linter check file.py --format github  # GitHub Actions annotations

# Exit with error code if issues found (useful for CI)
t-linter check file.py --error-on-issues

Example output:

example.py:4:47: error[embedded-parse-error] Expected a JSON value. (language=json)
1 files scanned, 1 templates scanned, 1 diagnostics, 0 failed files

Exit codes:

Format

Rewrite supported template literals (HTML, T-HTML, TDOM, JSON, YAML, TOML) in place:

# Format a single file
t-linter format file.py

# Format a directory
t-linter format src/

# Check whether formatting would change any files (for CI)
t-linter format --check file.py

# Override the formatter line length
t-linter format --line-length 100 file.py

# Format stdin
cat file.py | t-linter format --stdin-filename file.py -

Templates in unsupported languages (CSS, JavaScript, SQL) are left unchanged.

For CI pipelines that also use Ruff, run the tools explicitly in sequence:

ruff check --fix . && ruff format . && t-linter format .
ruff check . && ruff format --check . && t-linter format --check .

LSP Server

Start the Language Server Protocol server for editor integration:

t-linter lsp

# Start the LSP server with the composed Ruff pipeline -> t-linter document formatting
t-linter lsp --ruff-pipeline

The LSP server provides:

• Semantic Tokens — syntax highlighting for embedded languages
• Diagnostics — real-time validation with 250ms debouncing
• Interpolation Type Checking — optional JSON, YAML, TOML interpolation value diagnostics and TDOM component prop interpolation diagnostics through Ty, Pyright, or Pyrefly
• Document Formatting — full document and range formatting
• Code Actions — source.fixAll.t-linter for document-level rewrites and refactor.rewrite.t-linter for single-template selection rewrites

Interpolation value type checking is opt-in and applies to JSON, YAML, TOML templates and TDOM component props. Enable it from an LSP client with initialization options:

{
  "typeChecking": {
    "enabled": true,
    "checker": "pyright",
    "command": "/path/to/pyright-langserver",
    "args": ["--stdio"]
  }
}

When command and args are omitted, t-linter uses the selected checker defaults: ty server, pyright-langserver --stdio, or pyrefly lsp. It searches active virtual environments, workspace .venv/venv, uv projects, and then the checker on PATH.

See Interpolation Type Checking for the architecture, behavior, and implementation details.

Claude Code

Add t-linter as an LSP server in your project's .claude/settings.json:

{
  "lsp": {
    "t-linter": {
      "command": "t-linter",
      "args": ["lsp"],
      "languages": ["python"]
    }
  }
}

Claude Code will then use t-linter's diagnostics when editing Python files containing template strings.

Codex

Add the LSP configuration to your project's codex.json or start t-linter's LSP server as part of your development environment. The t-linter check and t-linter format commands can also be used directly in Codex's sandbox:

t-linter check src/
t-linter format --check src/

Neovim

vim.lsp.start({
  name = "t-linter",
  cmd = { "t-linter", "lsp" },
  filetypes = { "python" },
})

Other Editors

Any editor with LSP support can use t-linter. Configure the LSP client to start t-linter lsp as the server command for Python files.

Configuration

Configuration via pyproject.toml:

[tool.t-linter]
line-length = 80
extend-exclude = ["generated", "vendor"]
ignore-file = ".t-linterignore"

By default, t-linter also reads .t-linterignore from the project root if it exists.

Quick Start Example

from typing import Annotated
from string.templatelib import Template

def render_html(template: Annotated[Template, "html"]) -> None:
    pass


def run_sql(template: Annotated[Template, "sql"]) -> None:
    pass


type css = Annotated[Template, "css"]
type yaml_config = Annotated[Template, "yaml"]
type toml_config = Annotated[Template, "toml"]


def load_styles(template: css) -> None:
    pass


def load_yaml(template: yaml_config) -> None:
    pass


def load_toml(template: toml_config) -> None:
    pass


title = "t-linter"
heading = "Template strings with syntax highlighting"
content = "Interpolations stay as normal Python expressions."

render_html(t"""
<!DOCTYPE html>
<html>
    <head>
        <title>{title}</title>
    </head>
    <body>
        <h1 style="color: #007acc">{heading}</h1>
        <p>{content}</p>
    </body>
</html>
""")

start_date = "2026-01-01"

run_sql(t"""
SELECT u.name, u.email, p.title
FROM users u
JOIN posts p ON u.id = p.author_id
WHERE u.created_at > {start_date}
ORDER BY u.name
""")

padding = 24

load_styles(t"""
.container {{
    max-width: 1200px;
    margin: 0 auto;
    padding: {padding}px;
}}
""")

app_name = "demo-app"

load_yaml(t"""
app:
  name: {app_name}
  debug: true
""")

project_name = "demo-project"
version = "0.1.0"

load_toml(t"""
[project]
name = "{project_name}"
version = "{version}"
""")

Use {{ and }} when the embedded language needs literal braces, such as CSS or JSON objects.

For html, <title>{value}</title> is allowed and treated as escaped text. <script>, <style>, and <textarea> still reject interpolations for safety.

Roadmap

Planned Features

• ✅ Language Server Protocol (LSP) - Fully implemented
• ✅ Syntax Highlighting - Supports HTML, T-HTML, TDOM, SQL, JavaScript, CSS, JSON, YAML, TOML
• ✅ Type Alias Support - Recognizes type html = Annotated[Template, "html"]
• ✅ Linting (check command) - Validate template strings for syntax errors
• ✅ Formatting (format command) - Canonical formatting for HTML, T-HTML, TDOM, JSON, YAML, TOML
• 🚧 Statistics (stats command) - Analyze template string usage across codebases
• 📋 Cross-file Type Resolution - Track type aliases across module boundaries