Pure.DI
Pure DI for .NET
Install / Use
/learn @DevTeam/Pure.DIREADME
Pure.DI for .NET
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Pure.DI is a compile-time dependency injection (DI) code generator. Supports .NET starting with .NET Framework 2.0, released 2005-10-27, and all newer versions.
Usage Requirements
- .NET SDK 6.0.4+
Required for compilation. Projects can target older frameworks (e.g., .NET Framework 2.0). - C# 8+
Only required for projects using the Pure.DI source generator. Other projects support any C# version.
Key Features
✔️ Zero Overhead
Pure.DI is a .NET code generator designed to produce clean, efficient dependency injection logic. By leveraging basic language constructs, it generates straightforward code indistinguishable from manual implementation—essentially composing objects through nested constructor invocations. Unlike traditional DI frameworks, Pure.DI avoids reflection and dynamic instantiation entirely, eliminating performance penalties associated with runtime overhead.
✔️ Compile-Time Validation
All analysis of object, constructor, and method graphs occurs at compile time. Pure.DI proactively detects and alerts developers to issues such as missing dependencies, cyclic references, or dependencies unsuitable for injection—ensuring these errors are resolved before execution. This approach guarantees that developers cannot produce a program vulnerable to runtime crashes caused by faulty dependency wiring. The validation process operates seamlessly alongside code development, creating an immediate feedback loop: as you modify your code, Pure.DI verifies its integrity in real time, effectively delivering tested, production-ready logic the moment changes are implemented.
✔️ Works everywhere
The pure dependency injection approach introduces no runtime dependencies and avoids .NET reflection , ensuring consistent execution across all supported platforms. This includes the Full .NET Framework 2.0+, .NET Core, .NET 5+, UWP/Xbox, .NET IoT, Unity, Xamarin, Native AOT, and beyond. By decoupling runtime constraints, it preserves predictable behavior regardless of the target environment.
✔️ Familiar Syntax
The Pure.DI API is intentionally designed to closely mirror the APIs of mainstream IoC/DI frameworks. This approach ensures developers can leverage their existing knowledge of dependency injection patterns without requiring significant adaptation to a proprietary syntax.
✔️ Precise Generics
Pure.DI recommends utilizing dedicated marker types rather than relying on open generics. This approach enables more precise construction of object graphs while allowing developers to fully leverage the capabilities of generic types.
✔️ Transparency
Pure.DI allows to view and debug the generated code, making debugging and testing easier.
✔️ Built-in BCL Support
Pure.DI provides native support for numerous Base Class Library (BCL) types out of the box without any extra effort.
When to Use Pure.DI
✔️ High-Performance Applications
Pure.DI is designed for high-performance applications where speed and minimal memory consumption are critical.
✔️ Projects with a Focus on Clean Code
Pure.DI is suitable for projects where code cleanliness and minimalism are important factors.
✔️ Applications with Complex Dependencies
Pure.DI can handle complex dependencies and provides flexible configuration options.
✔️ Ideal for Libraries
Its high performance, zero memory consumption/preparation overhead, and lack of dependencies make it ideal for building libraries and frameworks.
NuGet packages
| NuGet package | Description | |-----------------------------------------------------------------------------|:--------------------------------------------------------------------| | Pure.DI | DI source code generator | | Pure.DI.Abstractions | Abstractions for Pure.DI | | Pure.DI.Templates | Template package, for creating projects from the shell/command line | | Pure.DI.MS | Add-ons for Pure.DI to work with Microsoft DI |

Schrödinger's cat demonstrates how it all works 
The reality is

Let's create an abstraction
interface IBox<out T>
{
T Content { get; }
}
interface ICat
{
State State { get; }
}
enum State { Alive, Dead }
Here's our implementation
record CardboardBox<T>(T Content) : IBox<T>;
class ShroedingersCat(Lazy<State> superposition): ICat
{
// The decoherence of the superposition
// at the time of observation via an irreversible process
public State State => superposition.Value;
}
[!IMPORTANT] Our abstraction and implementation know nothing about the magic of DI or any frameworks.
Let's glue it all together
Add the Pure.DI package to your project:
Let's bind the abstractions to their implementations and set up the creation of the object graph:
DI.Setup(nameof(Composition))
// Models a random subatomic event that may or may not occur
.Bind().As(Singleton).To<Random>()
// Represents a quantum superposition of two states: Alive or Dead
.Bind().To((Random random) => (State)random.Next(2))
.Bind().To<ShroedingersCat>()
// Cardboard box with any contents
.Bind().To<CardboardBox<TT>>()
// Composition Root
.Root<Program>("Root");
[!NOTE] In fact, the
Bind().As(Singleton).To<Random>()binding is unnecessary since Pure.DI supports many .NET BCL types out of the box, including Random. It was added just for the example of using the Singleton lifetime.
The code above specifies the generation of a partial class named Composition. This name is defined in the DI.Setup(nameof(Composition)) call. The class contains a Root property that returns an object graph with an object of type Program as the root. The type and name of the property are defined by calling Root<Program>("Root"). The generated code looks like this:
partial class Composition
{
private readonly Lock _lock = new Lock();
private Random? _random;
public Program Root
{
get
{
var stateFunc = new Func<State>(() => {
if (_random is null)
lock (_lock)
if (_random is null)
_random = new Random();
return (State)_random.Next(2)
});
return new Program(
new CardboardBox<ICat>(
new ShroedingersCat(
new Lazy<State>(
stateFunc))));
}
}
public T Resolve<T>() { ... }
public T Resolve<T>(object? tag) { ... }
public object Resolve(Type type) { ... }
public object Resolve(Type type, object? tag) { ... }
}
<details>
<summary>Class diagram</summary>
classDiagram
ShroedingersCat --|> ICat
CardboardBoxᐸICatᐳ --|> IBoxᐸICatᐳ
CardboardBoxᐸICatᐳ --|> IEquatableᐸCardboardBoxᐸICatᐳᐳ
Composition ..> Program : Program Root
State o-- "Singleton" Random : Random
ShroedingersCat *-- LazyᐸStateᐳ : LazyᐸStateᐳ
Program *-- CardboardBoxᐸICatᐳ : IBoxᐸICatᐳ
CardboardBoxᐸICatᐳ *-- ShroedingersCat : ICat
LazyᐸStateᐳ o-- "PerBlock" FuncᐸStateᐳ : FuncᐸStateᐳ
FuncᐸStateᐳ *-- State : State
namespace Sample {
class CardboardBoxᐸICatᐳ {
<<record>>
+CardboardBox(ICat Content)
}
class Composition {
<<partial>>
+Program Root
+ T ResolveᐸTᐳ()
+ T ResolveᐸTᐳ(object? tag)
+ object Resolve(Type type)
+ object Resolve(Type type, object? tag)
}
class IBoxᐸICatᐳ {
<<interface>>
}
class ICat {
<<interface>>
}
class Program {
<<class>>
+Program(IBoxᐸICatᐳ box)
}
class ShroedingersCat {
<<class>>
+ShroedingersCat(LazyᐸStateᐳ superposition)
}
class State {
<<enum>>
}
}
namespace System {
class FuncᐸStateᐳ {
<<delegate>>
}
class IEquatableᐸCardboardBoxᐸICatᐳᐳ {
<<interface>>
}
class LazyᐸStateᐳ {
<<class>>
}
class Random {
<<class>>
+Random()
}
}
You can see the class diagram at any time by following the link in the comment of the generated class:

This code does not depend on other libraries, does not use type reflection, and avoids tricks that can negatively affect performance and memory consumption. It looks like efficient code written
