diff --git a/README.md b/README.md
index 54be6ad..d807d9f 100644
--- a/README.md
+++ b/README.md
@@ -25,22 +25,18 @@ If you want to adapt this material to your course, this repository has
 the guides in the `docs/` folder and the rest in the `Deepnote/` folder.
 
 ## Development
-If you want to contribute to this repository, create a virtual environment,
-preferably with Python 3.10 for compatibility with Deepnote, and install the software:
-```bash
-python3.10 -m venv venv
-. venv/bin/activate
-pip install --upgrade pip
-pip install -r requirements.txt
-```
-To preview the documentation that will be in GitHub Pages, enter `mkdocs serve`.
+This repository is developed with [poetry](https://python-poetry.org).
+After installing `poetry`, enter `poetry install` to create the development environment.
+
+To preview the documentation that will be in GitHub Pages, enter `poetry run mkdocs serve`.
 
 The documentation must be written in strict Markdown: 
-blank line before a new list; break lines with two spaces; indent with 4 spaces.
+blank line before a new list; line breaks are two spaces; indentation is 4 spaces.
 
-To build the documentation in the `docs/` folder, enter `mkdocs build`.
-(Don't use `mkdocs gh-deploy` because it also pushes untracked files. For example, 
-it was going to push all 37k+ venv files, even though `venv` is on `.gitignore`!)
+To build the documentation in the `docs/` folder from the `src/docs` files, 
+enter `poetry run mkdocs build`.
+(Don't use `mkdocs gh-deploy` because it pushes untracked and other files, 
+without giving you a chance to check what will be pushed.)
 
 After accepting a commit to folder `Deepnote/`, the owners will upload the
 updated files to the Deepnote project linked above.
diff --git a/mkdocs.yml b/mkdocs.yml
index 7fcde9b..3f03647 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -10,9 +10,9 @@ plugins:
 - mkdocstrings:
     handlers:
       python:
-        paths: [Deepnote]
+        paths: [src]
         options:
-          docstring_style: null
+          docstring_style: "google"
           separate_signature: true
           show_signature_annotations: true
           show_source: false
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..bda48c2
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,2653 @@
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..5801509
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,42 @@
+[tool.poetry]
+name = "algoesup"
+version = "0.1.0" 
+description = "Algorithmic essay support library"
+authors = [
+    "Michel Wermelinger <michel.wermelinger@open.ac.uk>",
+    "Michael Snowden"
+]
+packages = [
+    { include = "algoesup", from = "src" },
+]
+readme = "src/README.md"
+license = "BSD-3-Clause"
+repository = "https://github.com/dsa-ou/algoesup"
+homepage = "https://dsa-ou.github.io/algoesup/"
+keywords = ["education"]
+classifiers = [
+    "Intended Audience :: Education",
+    "License :: OSI Approved :: BSD License",
+    "Programming Language :: Python :: 3.10",
+    "Topic :: Education",
+    "Operating System :: OS Independent",
+    ]
+
+[tool.poetry.dependencies]
+python = "^3.10"
+ipython = "^8.13.1"
+matplotlib = "^3.4.2"
+
+[tool.poetry.group.dev.dependencies]
+ruff = "^0.1.11"
+allowed = "^1.3"
+pytype = {version = ">=2023.04.27", markers = "platform_system != 'Windows'"}
+mkdocs = "^1.5.3"
+mkdocs-material = "^9.5.11"
+mkdocstrings = { version = "^0.24.0", extras = ["python"] }
+mkdocs-jupyter = "^0.24.6"
+mkdocs-open-in-new-tab = "^1.0.3"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 8fcd0c6..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-jupyter
-black[jupyter]
-matplotlib==3.8.0
-pytype==2023.12.8
-ruff==0.1.8
-mkdocs
-mkdocs-material
-mkdocstrings[python]
-mkdocs-jupyter
-mkdocs-open-in-new-tab
diff --git a/src/README.md b/src/README.md
new file mode 100644
index 0000000..ca69dec
--- /dev/null
+++ b/src/README.md
@@ -0,0 +1,34 @@
+# Algoesup 
+
+This small library was written to support the writing of 
+[algorithmic essays](https://dsa-ou.github.io/algoesup),
+but can be used independently of that purpose. 
+The library provides auxiliary functions that make it easier to:
+ - write unit tests for functions
+ - measure and plot run-times for best, average and worst case inputs
+ - use linters within Jupyter Notebook environments.
+
+Guidance on how to use the library is [here](https://dsa-ou.github.io/algoesup/writing/#code).
+
+To install in the global Python environment, open a terminal or PowerShell, and enter
+```bash
+pip install algoesup
+```
+To install in a virtual environment, activate it before entering the command above.
+
+The library supports the [ruff](https://docs.astral.sh/ruff) and 
+[allowed](https://dsa-ou.github.io/allowed) linters, and the 
+[pytype](https://google.github.io/pytype) type checker.
+You have to install them explicitly if you want to use them from within a notebook:
+```bash
+pip install ruff allowed pytype
+```
+Note that `pytype` is not available for Windows.
+
+## Licence
+
+`algoesup` is Copyright © 2023–2024 by The Open University, UK. 
+The code is licensed under a 
+[BSD 3-clause licence](https://github.com/dsa-ou/algoesup/blob/main/LICENSE). 
+The documentation is licensed under a 
+[Creative Commons Attribution 4.0 International Licence](https://creativecommons.org/licenses/by/4.0/)
\ No newline at end of file
diff --git a/src/algoesup/__init__.py b/src/algoesup/__init__.py
new file mode 100644
index 0000000..f8a3b5d
--- /dev/null
+++ b/src/algoesup/__init__.py
@@ -0,0 +1,2 @@
+from .test import test
+from .time import time_cases, time_functions, time_functions_int
\ No newline at end of file
diff --git a/src/algoesup/magics.py b/src/algoesup/magics.py
new file mode 100644
index 0000000..d79d1e5
--- /dev/null
+++ b/src/algoesup/magics.py
@@ -0,0 +1,247 @@
+"""Linting tools for Jupyter Notebook environments"""
+
+import json
+import os
+import re
+import subprocess
+import tempfile
+from typing import Callable
+
+from IPython.core.inputtransformer2 import TransformerManager
+from IPython.core.magic import register_line_magic
+from IPython.core.magic_arguments import argument, magic_arguments, parse_argstring
+from IPython.display import display_markdown
+
+
+def show_errors(checker: str, output: str, filename: str) -> None:
+    """Print the errors for the given file in the checker's output."""
+    md = [f"**{checker}** found issues:"]
+    for line in output.split("\n"):
+        if "syntax" in line.lower() and "error" in line.lower():
+            continue  # syntax errors already reported when running the cell
+        if m := re.match(rf".*{filename}[^\d]*(\d+[^:]*:.*)", line):
+            md.append(f"- {m.group(1)}")
+    if len(md) > 1:
+        display_markdown("\n".join(md), raw=True)
+
+
+def show_ruff_json(checker: str, output: str, filename: str) -> None:
+    """Print the errors in ruff's JSON output for the given file."""
+    if errors := json.loads(output):
+        md = [f"**{checker}** found issues:"]
+        # the following assumes errors come in line order
+        for error in errors:
+            line = error["location"]["row"]
+            code = error["code"]
+            url = error["url"]
+            msg = error["message"]
+            if error["fix"]:
+                msg += f". Suggested fix: {error['fix']['message']}"
+            md.append(f"- {line}: \[[{code}]({url})\] {msg}")
+        display_markdown("\n".join(md), raw=True)
+
+
+def show_pytype_errors(checker: str, output: str, filename: str) -> None:
+    """Print the errors in pytype's output for the given file."""
+    md = [f"**{checker}** found issues:"]
+    for error in output.split("\n"):
+        if "syntax" in error.lower() and "error" in error.lower():
+            continue  # syntax errors already reported when running the cell
+        if m := re.match(rf".*{filename}[^\d]*(\d+)[^:]*:(.*)\[(.*)\]", error):
+            line = m.group(1)
+            msg = m.group(2)
+            code = m.group(3)
+            md.append(
+                f"- {line}:{msg}\[[{code}](https://google.github.io/pytype/errors.html#{code})\]"
+            )
+    if len(md) > 1:
+        display_markdown("\n".join(md), raw=True)
+
+
+# register the supported checkers, their commands and the output processor
+checkers: dict[str, tuple[str, Callable]] = {
+    "pytype": ("pytype", show_pytype_errors),
+    "allowed": ("allowed", show_errors),
+    "ruff": ("ruff check --output-format json", show_ruff_json),
+}
+# initially no checker is active
+active: set[str] = set()
+
+
+def process_status(name: str, status: str) -> None:
+    """Process the status of a checker."""
+    if status is None:
+        print(name, "is", "active" if name in active else "inactive")
+    elif status == "on":
+        active.add(name)
+        print(name, "was activated")
+    elif status == "off":
+        active.discard(name)
+        print(name, "was deactivated")
+
+
+@magic_arguments()
+@argument(
+    "status",
+    choices=["on", "off"],
+    type=str.lower,
+    help="Activate or deactivate the linter. If omitted, show the current status.",
+    nargs="?",
+    default=None,
+)
+@register_line_magic
+def pytype(line: str) -> None:
+    """Activate/deactivate the `pytype` linter.
+    
+    This ipython magic command controls the activation state of the `pytype` linter within
+    the ipython environment. It can be toggled on or off, or queried for its
+    current state.
+
+    Examples:
+        ```
+        %pytype on 
+        pytype was activated
+        %pytype off     
+        pytype was deactivated
+        %pytype         
+        pytype is inactive  
+        ```
+    """
+    args = parse_argstring(pytype, line)
+    process_status("pytype", args.status)
+
+
+@magic_arguments()
+@argument(
+    "-c",
+    "--config",
+    default=None,
+    help="Use configuration file CONFIG (default: m269.json).",
+)
+@argument(
+    "status",
+    choices=["on", "off"],
+    type=str.lower,
+    help="Activate or deactivate the linter. If omitted, show the current status.",
+    nargs="?",
+    default=None,
+)
+@register_line_magic
+def allowed(line: str) -> None:
+    """Activate/deactivate the `pytype` linter.
+      
+    This magic command controls the activation state of the `pytype` linter within
+    the ipython environment. It can be toggled on or off, or queried for its
+    current state.
+  
+    Examples:
+        ```
+        %pytype on 
+        pytype was activated
+        %pytype off     
+        pytype was deactivated
+        %pytype         
+        pytype is inactive  
+        ```
+    """
+    args = parse_argstring(allowed, line)
+    config = f"-c {args.config}" if args.config else ""
+    checkers["allowed"] = (f"allowed {config}", show_errors)
+    process_status("allowed", args.status)
+
+
+@magic_arguments()
+@argument(
+    "status",
+    choices=["on", "off"],
+    type=str.lower,
+    help="Activate or deactivate the linter. If omitted, show the current status.",
+    nargs="?",
+    default=None,
+)
+@register_line_magic
+def ruff(line: str) -> None:
+    """Activate/deactivate the `ruff` linter.
+    
+    This ipython magic command controls the activation state of the `ruff` linter within
+    the interactive environment. It can be toggled on or off, or queried for its
+    current state.
+   
+    Examples:
+        `%ruff on`
+        `ruff was activated`  
+        `%ruff off`  
+        `ruff was deactivated`  
+        `%ruff`  
+        `ruff is inactive`  
+    """
+    args = parse_argstring(ruff, line)
+    process_status("ruff", args.status)
+
+
+# TODO: add an option to set the output processor function
+@register_line_magic
+def checker(line: str) -> None:
+    """Define or turn on/off a given checker."""
+    global checkers, active
+
+    args = line.split()
+    if len(args) == 0:
+        print("Active checkers:", *active)
+        print("Inactive checkers:", *(set(checkers) - active))
+        return
+
+    name = args[0]
+    if len(args) == 1:
+        if name not in checkers:
+            print(f"Checker {name} isn't defined.")
+        else:
+            status = "active" if name in active else "inactive"
+            print(f"Checker {name} is {status} and defined as '{checkers[name]}'.")
+    elif args[1].lower() == "on":
+        if name not in checkers:
+            print(f"Error: checker {name} isn't defined.")
+        else:
+            active.add(name)
+            print(f"Checker {name} has been activated.")
+    elif args[1].lower() == "off":
+        if name not in checkers:
+            print(f"Error: checker {name} isn't defined.")
+        else:
+            active.discard(name)
+            print(f"Checker {name} has been deactivated.")
+    else:
+        command = " ".join(args[1:])
+        status = "redefined" if name in checkers else "defined"
+        checkers[name] = command
+        active.add(name)
+        print(f"Checker {name} has been {status} and activated.")
+
+
+def run_checkers(result) -> None:
+    """Run all active checkers after a cell is executed."""
+    if not active:
+        return
+    try:
+        with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False) as temp:
+            # transform IPython to pure Python to avoid linters reporting syntax errors
+            temp.write(TransformerManager().transform_cell(result.info.raw_cell))
+            temp_name = temp.name
+        for checker in active:
+            command, display = checkers[checker]
+            command += " " + temp_name
+            try:
+                output = subprocess.run(
+                    command, capture_output=True, text=True, check=False, shell=True
+                ).stdout
+                display(checker, output, temp_name)
+            except Exception as e:
+                print(f"Error on executing {command}:\n{e}")
+    except Exception as e:
+        print(f"Error on writing cell to a temporary file:\n{e}")
+    finally:
+        os.remove(temp_name)
+
+
+def load_ipython_extension(ipython):
+    ipython.events.register("post_run_cell", run_checkers)  # type: ignore[name-defined]
diff --git a/src/algoesup/test.py b/src/algoesup/test.py
new file mode 100644
index 0000000..493549a
--- /dev/null
+++ b/src/algoesup/test.py
@@ -0,0 +1,23 @@
+"""Simplified testing for Python functions"""
+
+from typing import Callable
+
+
+def test(function: Callable, test_table: list) -> None:
+    """Test the function with the test_table. Report failed tests.
+
+    Args:
+        function (Callable): The function to be tested.
+        test_table (list): The list of tests. Each element of test_table is a list or 
+            tuple with: a string (the test case name); one or more values (the inputs to the function);
+            the expected output value.
+    """
+    print(f"Testing {function.__name__}:")
+    for test_case in test_table:
+        name = test_case[0]
+        inputs = test_case[1:-1]
+        expected = test_case[-1]
+        actual = function(*inputs)
+        if actual != expected:
+            print(name, "FAILED:", actual, "instead of", expected)
+    print("Tests finished.")
diff --git a/src/algoesup/time.py b/src/algoesup/time.py
new file mode 100644
index 0000000..5038831
--- /dev/null
+++ b/src/algoesup/time.py
@@ -0,0 +1,224 @@
+"""Tools for measuring and plotting run-times"""
+
+from typing import Callable
+
+import timeit
+import matplotlib.pyplot as plt
+
+
+# Input generators
+# ----------------
+
+
+def int_value(n: int) -> tuple[int]:
+    """Return the value n."""
+    return (n,)
+
+
+# Timing functions
+# -----------------
+
+
+def scale_and_unit(seconds: float) -> tuple[int, str]:
+    """Given a time in seconds, return the appropriate scale factor and time unit."""
+    if seconds < 1e-6:
+        return 1_000_000_000, "ns"
+    if seconds < 1e-3:
+        return 1_000_000, "µs"
+    if seconds < 1:
+        return 1_000, "ms"
+    return 1, "s"
+
+
+def time_it(function: Callable, *args, loops=0, repeat=3) -> float:
+    """Return the fastest time, in seconds, of running `function` on `*args`.
+
+    By default (zero loops), use enough loops to take >= 0.2 seconds.
+    """
+    assert loops >= 0, "loops must be non-negative"
+    assert repeat > 0, "repeat must be positive"
+
+    timer = timeit.Timer(lambda: function(*args))
+    if loops == 0:
+        loops, run_time = timer.autorange()
+        run_times = timer.repeat(repeat - 1, loops)
+        run_times.append(run_time)
+    else:
+        run_times = timer.repeat(repeat, loops)
+    return min(run_times) / loops
+
+
+def time_cases(
+    function: Callable,
+    cases: list[Callable],
+    start_size: int,
+    double: int,
+    text: bool = True,
+    chart: bool = False,
+) -> None:
+    """Print or plot the run-times of `function` for different input cases.
+    
+    `time_cases` prints or plots the run-times of a single function using a list of 
+    different input generators. Inputs are generated based on a starting size and are 
+    doubled a specified number of times.
+
+    Args:
+        function (Callable): A functions whose run-times will be measured.
+        cases (list[Callable]): A list of functions to generate inputs of different cases.
+            E.g best- normal- and worst-case.
+        start_size (int): The starting size for the inputs. Must be positive.
+        double (int): The number of times to double the input size. Must be non-negative.
+        text (bool, optional): If True, print the run-times in text format.
+        chart (bool, optional): If True plot the run-times using a chart.
+    
+    Raises:
+        AssertionError: If input conditions are not satisfied.
+    """
+    assert start_size > 0, "the start size must be positive"
+    assert double >= 0, "must double the input size at least zero times"
+    assert 0 < len(cases) < 7, "there must be 1 to 6 input functions"
+    assert text or chart, "at least one of text and chart must be enabled"
+
+    sizes = [start_size]  # the input sizes used
+    for _ in range(double):
+        sizes.append(sizes[-1] * 2)
+    scale = unit = None  # no scale determined yet
+    if chart:
+        markers = ["bo-", "ko--", "ro:", "ys-", "cs--", "gs:"]
+        times: list[list[float]] = []
+        for _ in range(len(cases)):
+            times.append([])
+        plt.title(f"Run-times for {function.__name__}")
+    if text:
+        print(f"Run-times for {function.__name__}\n")
+        print("Input size", end=" ")
+        for case in cases:
+            print(f"{case.__name__[:15]:>15}", end=" ")
+    for size in sizes:
+        if text:
+            print(f"\n{size:>10}", end=" ")
+        for index in range(len(cases)):
+            instance = cases[index](size)
+            run_time = time_it(function, *instance)
+            if not scale:
+                scale, unit = scale_and_unit(run_time)
+            run_time = run_time * scale
+            if chart:
+                times[index].append(run_time)
+            if text:
+                print(f"{run_time:>15.1f}", end=" ")
+        if text:
+            print(f"{unit}", end="")
+    if chart:
+        plt.xlabel("Input size")
+        plt.ylabel(f"Run-time ({unit})")
+        for index in range(len(cases)):
+            plt.plot(sizes, times[index], markers[index], label=cases[index].__name__)
+        plt.legend()
+        plt.show()
+
+
+def time_functions(
+    functions: list[Callable],
+    inputs: Callable,
+    start: int,
+    double: int,
+    text: bool = True,
+    chart: bool = False,
+    value: bool = False,
+) -> None:
+    """Print or plot the run-times of different functions for the same inputs.
+
+    `time_functions` prints or plots the run-times given list of functions and an input 
+    generator. Inputs are generated based on a starting size and are doubled a specified 
+    number of times.
+
+    Args:
+        functions (list[Callable]): A list of functions whose run-times will be measured.
+            Must be 1 to 6 functions.
+        inputs (Callable): A function to generate inputs when given a specific size.
+        start (int): The starting size for the inputs. Must be positive.
+        double (int): The number of times to double the input size. Must be non-negative.
+        text (bool, optional): If True, print the run-times in text format
+        chart (bool, optional): If True plot the run-times using a chart.
+        value (bool, optional): If True x-axis is labelled "Input value" otherwise "Input size".
+
+    Raises:
+        AssertionError: If input conditions are not satisfied.
+    """
+    assert start > 0, "the start size/value can't be negative"
+    assert double >= 0, "must double the input size/value at least zero times"
+    assert 0 < len(functions) < 7, "there must be 1 to 6 functions"
+    assert text or chart, "at least one of text and chart must be enabled"
+
+    x_label = "Input " + ("value" if value else "size")
+    text_width = len(x_label)
+    sizes = [start]  # the input sizes used
+    for _ in range(double):
+        sizes.append(sizes[-1] * 2)
+    scale = unit = None  # no scale determined yet
+    if chart:
+        markers = ["bo-", "ko--", "ro:", "ys-", "cs--", "gs:"]
+        times: list[list[float]] = []
+        for _ in range(len(functions)):
+            times.append([])
+        plt.title(f"Inputs generated by {inputs.__name__}")
+    if text:
+        print(f"Inputs generated by {inputs.__name__}\n")
+        print(x_label, end=" ")
+        for index in range(len(functions)):
+            print(f"{functions[index].__name__[:15]:>15}", end=" ")
+    for size in sizes:
+        if text:
+            print(f"\n{size:>{text_width}}", end=" ")
+        instance = inputs(size)
+        for index in range(len(functions)):
+            run_time = time_it(functions[index], *instance)
+            if not scale:
+                scale, unit = scale_and_unit(run_time)
+            run_time = run_time * scale
+            if chart:
+                times[index].append(run_time)
+            if text:
+                print(f"{run_time:>15.1f}", end=" ")
+        if text:
+            print(f"{unit}", end="")
+    if chart:
+        plt.xlabel(x_label)
+        plt.ylabel(f"Run-time ({unit})")
+        for index in range(len(functions)):
+            plt.plot(
+                sizes, times[index], markers[index], label=functions[index].__name__
+            )
+        plt.legend()
+        plt.show()
+
+
+def time_functions_int(
+    functions: list[Callable],
+    generator: Callable = int_value,
+    start_size: int = 1,
+    double: int = 10,
+    text: bool = True,
+    chart: bool = True,
+) -> None:
+    """Time functions that take a single integer as input.
+    
+    `time_functions_int` uses `time_functions` to measure and display the run-times
+    of a given list of functions that accept a single integer input. The integer inputs
+    are generated starting from a specified value that defaults to 1, and are doubled
+    a specified number of times that defaults to 10.
+
+    Args:
+        functions (list[Callable]): A list of functions whose run-times will be measured.
+            Each function must accept a single integer argument. Must be 1 to 6 functions.
+        generator (Callable, optional): A function to generate integer inputs. Defaults to
+            `int_value`, which should generate an integer based on the input size.
+        start_size (int, optional): The starting integer value for inputs. Defaults to 1.
+            Must be positive.
+        double (int, optional): The number of times to double the input integer value.
+            Defaults to 10. Must be non-negative.
+        text (bool, optional): If True, print the run-times in text format. 
+        chart (bool, optional): If True, plot the run-times using a chart. 
+    """
+    time_functions(functions, generator, start_size, double, text, chart, True)
diff --git a/src/docs/library.md b/src/docs/library.md
index fd5b6be..286b43a 100644
--- a/src/docs/library.md
+++ b/src/docs/library.md
@@ -2,13 +2,11 @@
 
 The `algoesup` library provides support for testing, timing and linting code.
 
-## Testing
-
-This function can be used with any Python program.
+This library requires `ipython` and `matplotlib`
 
-The library requires `matplotlib` and `ipython`. 
+## Testing
 
-::: algoesup
+::: algoesup.test
     options:
       heading_level: 3
       show_root_toc_entry: false
@@ -17,7 +15,7 @@ The library requires `matplotlib` and `ipython`.
 
 ## Timing
 
-::: algoesup
+::: algoesup.time
     options:
       heading_level: 3
       show_root_toc_entry: false
@@ -30,7 +28,7 @@ The library requires `matplotlib` and `ipython`.
 
 These are to lint within a Jupyter notebook, cell by cell.
 
-::: algoesup
+::: algoesup.magics
     options:
       heading_level: 3
       show_root_toc_entry: false