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- an SQLite Transport
- an In-Memory Transport
- **a Speckle Server 2.0 Transport**
- a Disk Transport
- a MongoDB Transport | [
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Other possible targets for transports can be S3 storage, a network drive, etc. You can also write a transport that writes to more than one place, but we advise against it - the .NET SDK provides a better way to achieve the same thing. | [
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Moreover, in the case of disk based transports (ie, disk, sqlite, etc.) you can also **control the location** of where this data is stored. | [
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Serialisation is a potentially quite wasteful operation depending on the size of the data. One of our goals is to be able to support arbitrarily large models without adding too much overhead. | [
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> Why can serialisation be wasteful, especially in terms of memory usage? Imagine you have a model with 100k building objects (geometry & data) open in an application. To send that model to Speckle, we would need to (1) convert those objects into Speckle objects, using a given converter, then (2) serialise them to whatever format we'd be ingesting down the line (e.g., a JSON string), and, finally, (3) transport them to Speckle. Over the course of these steps, your computer's memory holds **_three_** representations of the same object - Native, Speckle, and String. Not that cool! To reduce memory overhead, Speckle now integrates serialisation with writing objects to one or more persistence layers via transports. Whenever an object finishes serialisation, it's sent to a transport for storage, and ultimately, its string representation gets "garbage collected". Just like this, we've knocked off some memory usage. | [
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] |
The 2.0 API exposes two lower level methods for sending (serialising and writing) and receiving (reading and deserialising) data. In this section, we'll look at only at the send one - the section below will provide more detail on receiving data. | [
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First off, let's start with the simplest, default, use case: | [
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] |
```csharp
// First, let's create a simple base object to store our building data in.
var myData = new Base();
myData["@columns"] = new List<Columns>() { ... the columns };
myData["@rooms"] = new List<Rooms>() { ... the rooms}; | [
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] |
// Let's now send the data:
var myDataId = await Operations.Send( myData );
``` | [
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] |
Looks quite simple! In this scenario, the `Send` method serialised and saved the `myData` object, together with all its detachable `columns` and `rooms` to the default Speckle local transport (an SQLite db stored in `~/AppData/Speckle`), and returned the id (hash) of the `myData` object, which you can use to receive it back again. | [
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] |
```csharp
var myRevisionId = await Operations.Send(
myData,
transports: new ITransport[] {
new ServerTransport( args ), // imagine this one server...
new ServerTransport( args ), // ... and this is a different one! you're basically pushing to multiple remotes!
new MyCustomTransport( args ) // ... and, why not another transport?
}
);
``` | [
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] |
What's happening here is that we're passing in multiple transports to the Send method. Speckle will persist the given object, with all its detachable sub-children, to all these transports, and, when done, return the object's id (hash!). | [
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```csharp
// To set the stage, in the previous code sample, we've done:
var myDataId = await Operations.Send( myData ); | [
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] |
// Now, we want to get it back out. It's as simple as:
var myData = await Operations.Receive( myDataId );
``` | [
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This just retrieves the object back using the default SQLite Transport. No accounts, no extra HTTP requests, no hassle. Of course, this is enough only for "local" operations that are bound to a single computer only. | [
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If you want this to work across a local network, you can always create a SQLite Transport (or your own custom transport for that matter) that stores data on a network accessible drive. For large collaborative environments, you can, of course, receive your data from a Speckle Server. | [
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While you can Send data to multiple places at the same time, you can't really receive data from more places at the same time. Hence, `Receive` can only accept one transport as the source: | [
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] |
```csharp
var myData = await Operations.Receive(
myDataId,
remoteTransport: new ServerTransport( ... ) // where you want to receive things from!
);
``` | [
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Done! `myData` is now your data - a nicely deserialised Base object. | [
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] |
The Send and Receive functions in the examples above assume **a shared global cache** located in `~/User/.config/Speckle`. In the case of Send, this means that objects will be written to a SQLite Transport that is used by Speckle always; in the case of Receive, the same SQLite Transport will be used to buffer to/from the remote transport. | [
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Nevertheless, there are some use cases where you don't want to, or cannot, use the shared global cache. For example, you would want to go full on classic version control, and store your history right next to your project's file: | [
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```
`-- MyProject_A # root folder
|-- .speckle # the ".git" folder
| |-- references.db # commits, branches, tags, etc. storage
| `-- objects.db # object storage
`-- MyProject_A.rvt # source file
``` | [
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First, you can always customise the location of your transport. For example, in the case of the SQLite Transport, you can specify a folder where to actually create it. Let's assume we want to send our data to only two transports, a local SQLite one that's sitting in the `.speckle` folder just next to our Revit file, and a Speckle Server. | [
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```csharp
var customLocalTransport = new SQLiteTransport( basePath: @"{localFolderPath}/.speckle" );
var serverTransport = new ServerTransport(...);
``` | [
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The `Send` method can take an optional `useDefaultCache: false` argument to bypass the global cache, and send exclusively to the provided transports: | [
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] |
```csharp
var myDataId = await Operations.Send(
myData,
transports: new ITransport[] { customLocalTransport, serverTransport },
useDefaultCache: false // will bypass the global cache!
);
``` | [
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When receiving data, if you want to use your custom local transport, the method would look like this: | [
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] |
```csharp
var myData = await Operations.Receive(
objectId: myDataId,
remoteTransport: serverTransport,
localTransport: customLocalTransport // will use this one instead of the global cache!
);
``` | [
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Another use case is in constrained environments, where you don't have a persistent storage layer handy, such as a serverless function, or docker container. That's where you would probably want to use a `MemoryTransport` - it's obviously much faster and it doesn't need to touch the disk. | [
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Transports give you, as a developer, a lot of flexibility in how you can use Speckle, so hopefully "automating all the things" will become a bit easier and nicer. They make it easy to customise your workflows and where and how you store data - from the Speckle Server, to one or more databases, local or remote.
# Traversing Structured Data | [
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Before understanding traversal, it's crucial to recognize the challenges posed by handling structured data in Speckle. Without a method to navigate through complex, hierarchical data structures, you might end up with partial or incorrect data representations. Traversal provides a systematic way to explore Speckle data while capturing the relational context between objects. | [
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The most basic way to consume Speckle objects is simply **[by flattening the Speckle data](/dev/FilteringData.html)**, and consuming objects one by one.
For many use cases, this is all that is required, but often it is necessary to consume Speckle objects **while capturing the hierarchical context of objects**. | [
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**In connectors**, this means traversing received Speckle data **to find convertible objects and their children**.
In these cases, we are converting more than just objects one by one, but also **preserving the hierarchical tree** of parent/child relationships. | [
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::: tip So, What is Traversal?
In practical terms, Traversal is **how we navigate Speckle data** and the relationships between Speckle Objects, to **consume objects with hierarchical context.** | [
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To be concise, traversal aims to transform the [directed acyclic graph](https://en.wikipedia.org/wiki/Directed_acyclic_graph) topology (*Think of it as a one-way network of objects; no loops allowed*) of a Speckle data **into a pure [tree](https://en.wikipedia.org/wiki/Tree_(graph_theory)) topology** (*a branching hierarchy*).
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The structure of a Speckle data (e.g. from a version) differs depending on the data sent and from which connector.
While it is possible to write code that manually traverses a specific version, by **hardcoding assumptions** its structure, it is often desirable to **write code that can consume any Speckle data, sent from any connector**.
For this, it is necessary to understand the common **rules for how the connectors structure data**, and how this data can be traversed. | [
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This concept is most useful in connectors when receiving and converting data,
but the concept of traversal applies for any use case with the need to preserve and transform the structure of data. | [
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Simply iterating through all Speckle objects and consuming them individually is insufficient. Many types of **objects contain several representations** and reference geometry objects that are part of their definition (rather than separate displayable objects). | [
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] |
To illustrate this, consider how the `Wall` object is defined: | [
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] |
```csharp
public class Wall : Base
{
public double height { get; set; } | [
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A naïve function that consumes all objects one by one would **blindly consume** the baseline curve, and each mesh `displayValue` **without context** that it’s part of the Wall, nor do we have selectivity to choose which representation is use. | [
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Within the Speckle connectors, **A `Wall` object is considered a convertible object**; the `baseLine` and `displayValue` representations **should be ignored** from being traversed. | [
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] |
This is where traversal functions come into play. These functions **encode the “rules” for which properties should be traversed**. And provides a convenient way to traverse Speckle data without making connector-specific assumptions about its structure. | [
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The **Default Traversal Function** provides a de jure method of traversing Speckle objects, designed around a Speckle converter. This function is used by most of our connectors (with slight deviation) when receiving Speckle objects. | [
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Different connectors will have **different definitions of a “convertible” object**. There is no definitive list of “convertible” Speckle types. Connector-specific flexibility allows for **targeted interop** workflows and allows for the **intricacies of each host application**. | [
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As part of the default traversal rules, we selectively traverse the properties of “convertible” objects. Only traversing `"elements"` (and its alias `"@elements"`). | [
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Be careful when dynamically attaching data to `Collection` objects to avoid inconsistent behaviour. We would advise keeping `"elements"` as the only traversed property. This is something we may consider enforcing in a future version of Core. This doesn’t mean you can’t use dynamic properties on collections, but it does avoid dynamically attaching geometry. | [
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For most use cases, the `DefaultTraversal` function can be used out of the box to consume Speckle objects individually while still retaining the object hierarchy (tree). | [
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] |
The below case demonstrates the `DefaultTraversal` implementation and how it can be used to iterate through the Tree. The `TraversalContext` objects are the tree nodes that contain the `current: Base` object and the `parent : TraveralContext`. Additionally, they contain the name of the parent’s property that was traversed to get to current. | [
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] |
```csharp
async Task Foo(string myStream, ISpeckleConverter myConverter)
{
// Initialize traversal function with the given converter
var traversalFunc = DefaultTraversal.CreateTraverseFunc(myConverter); | [
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] |
// Receive commit object from the stream
Base commitObject = await Helpers.Receive(myStream); | [
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// Traverse the commit object
foreach (TraversalContext context in traversalFunc.Traverse(commitObject))
{
// Get the current object in traversal
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// Perform some operation on the current object
// Replace `DoWork` with your actual functionality
DoWork(current);
}
}
``` | [
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] |
The above code can be adapted to perform common tasks, such as | [
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] |
```csharp
List<Wall> walls = traversalFunc.Traverse(commitObject)
.Select(c => c.current)
.OfType<Wall>()
.ToList();
``` | [
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] |
```csharp
List<Base> smallThings = traversalFunc
.Traverse(commitObject)
.Select(c => c.current)
.Where(b => b["Volume"] is double and < 20)
.ToList();
``` | [
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Before we delve into customizing traversal rules, let's establish the default rules that are applied during traversal: | [
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1. For Convertible Objects: Only the "elements" and its alias "@elements" properties are traversed.
2. For Non-Convertible Objects: All properties are traversed, with no exceptions.
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] |
Now that we understand the default behavior, let's explore how you can create custom rules using the Traversal Rule Builder. The `TraversalRule` builder provides a means to construct a set of rules for how Speckle objects should be traversed. Each rule defines which properties of a Speckle object should be traversed and predicate criteria for when the rule is active for a given Speckle object. | [
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] |
`GraphTraversal.Traverse(Base)` will perform a depth-first traversal of the provided commit object, adding objects into an internal stack. Rules are executed in order for the current `Base` object. The first rule, whose predicated function holds true, determines which members of said `Base` object are traversed (added to the stack). | [
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] |
The `DefaultTraversal` contains two simple rules.
A rule is triggered for convertible objects (objects either convertible directly through the converter or through the existence of a `displayValue` property).
For these objects, we only traverse `"elements"` (and `"@elements"`). | [
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```csharp
// Implementation of the default traversal function, simplified for brevity
public static GraphTraversal CreateTraverseFunc(ISpeckleConverter converter)
{
var convertibleRule = TraversalRule.NewTraversalRule()
.When(converter.CanConvertToNative) //NOTE: only one `When` clause needs to evaluate true, for this rule to hold true
.When(HasDisplayValue)
.ContinueTraversing(ElementsAliases); | [
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var defaultRule = TraversalRule.NewTraversalRule()
.When(_ => true) //Always evaluates true
.ContinueTraversing(AllMembers); //AllMembers returns all non-obsolete members (instance & dynamic) | [
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] |
Inside the `DefaultTraversal` class, you will find another traversal function returned by `CreateRevitTraversalFunc`. This function is almost the same as the regular function. However, instead of performing a deep traversal of nested elements. Instead, it halts traversal as soon as it finds a convertible object. Deeper traversal is then performed by the Revit converter, which has more control over the hosting of nested Revit Elements. | [
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] |
```csharp
public static GraphTraversal CreateRevitTraversalFunc(ISpeckleConverter converter)
{
var convertibleRule = TraversalRule.NewTraversalRule()
.When(converter.CanConvertToNative)
.ContinueTraversing(None); | [
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var defaultRule = TraversalRule.NewTraversalRule()
.When(_ => true)
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] |
return new GraphTraversal(convertibleRule, displayValueRule, defaultRule);
}
``` | [
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] |
These functions were designed for Speckle connectors, which by design, do not reference the `Objects` assembly.
Because of this, the functions are unaware of the specific object models designed to be convertible.
Thus we use the `ISpeckleConverter` interface to avoid coupling of converter and connector code projects. | [
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] |
However, other use cases may require consuming Speckle data outside of a connector/converter’s software architecture.
Fear not! the traversal functions are flexible in achieving desirable behaviour.
Adapting the `CreateTraverseFunction` function or engineering custom rules to achieve the desired result is possible. | [
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] |
As a quick workaround, you could substitute the `converter.CanConvertToNative` function with a simple `b => b.speckle_type.contains("Objects.Geometry")`.
This should handle raw geometry, and the `HasDisplayValue` predicate should handle all other types of convertible geometry.
This should give you similar results to our converter’s, though there may be some edge cases where this behaves differently. | [
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The `TraverseRule` builder can be used to create **custom rules** and custom traversal behaviour.
A rule is formed by specifying a number of predicate functions and a selection function to select which property name should be traversed when the rule evaluates true. | [
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] |
```csharp
bool predicateFunction(Base b) {... }
IEnumerable<string> memberSelectionFunction(Base b) {... }
var myCustomRule = TraversalRule.NewTraversalRule()
.When(predicateFunction)
.ContinueTraversing(memberSelectionFunction);
``` | [
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The `TraversalContext` and `GraphTraversal` classes are designed to be subclassable.
This allows developers to capture additional context such as inherited data e.g. transformation matrices, display styles, render materials, etc. | [
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The same Traversal rules are coming to SpecklePy very soon. They are already being used in the Blender connector. The `GraphTraversal` and `ITraversalRule` interface works exactly the same as in Sharp. However, instead of the builder pattern, the constructor args accept `Callable` functions (e.g., regular or lambda expressions). | [
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] |
```python
def get_default_traversal_func(can_convert_to_native: Callable[[Base], bool]) -> GraphTraversal:
"""
Initialize traversal function for traversing a speckle commit object.
"""
# Rule for convertible objects
convertible_rule = TraversalRule(
[can_convert_to_native],
lambda _: {"elements", "@elements"},
) | [
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As of now, there's **no immediate plan** to bring this traversal feature to JS/TS. However, we're keen on enhancing Speckle data consumption in JS/TS in the future. If you're interested in this functionality, your feedback can influence our development priorities. Stay connected through our [forum](https://speckle.community) for updates and to share your thoughts.
# Using our Embeddable 3D Viewer | [
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For the brave, there's an example application in the [viewer package right here](https://github.com/specklesystems/speckle-server/tree/main/packages/viewer). | [
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Our end goals are:
- easy to load and unload speckle data
- easy to embed in your own react/vue/vanilla web apps
- easy to customise with your own tree views, etc. | [
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Speckle is an open source software platform that helps you get in control of your own data.
Speckle stores your 3D models and BIM data directly inside a database in a transparent and accessible way. | [
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Speckle is a swiss-army knife for working with 3D data and we keep adding new functionalities every day. Here are some of the main things people have been using Speckle for: | [
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] |
- Interoperability: get your CAD and BIM models into other software without exporting or importing
- 3D Viewer: see your CAD and BIM models online, share and embed them anywhere
- Real time: get real time updates and notifications and changes
- Object-based: say goodbye to files! Speckle is the first object based platform for the AEC industry, store your data in a fast and accessible database
- Version control: Speckle is the Git & Hub for geometry and BIM data - you can manage multiple versions of this data with ease!
- Collaboration: share your designs collaborate with others
- Permission and data management: set granular permissions on you designs and parts of them
- GraphQL API: get what you need anywhere you want it
- Webhooks: the base for a automation and next-gen pipelines
- Custom Apps: create custom apps that leverage your data the way you want
- Built for developers: we are building Speckle with developers in mind and got tools for every stack
- Built for the AEC industry: Speckle connectors are plugins for the most common software used in the industry such as Revit, Rhino, Grasshopper, AutoCAD, Civil 3D, Excel, Unreal Engine, Unity, QGIS, Blender and more! | [
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In short, Speckle is a great basis for you company's digital transformation and for transitioning to digital and data driven workflows. | [
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It means that you are free to take our code and run away with it! Really!
Speckle is licensed as Apache 2 so you are free to study, modify, redistribute and commercialize any parts of it. | [
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This means that you can totally deploy your own Speckle server without ever having to depend on us! | [
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