Benchmark: dsteem vs steem-js round 2

HTML Preparation code:

<script src="//unpkg.com/dsteem@^0.8.0/dist/dsteem.js"></script>
<script src="//cdn.steemjs.com/lib/latest/steem.min.js"></script>

Script Preparation code:

  var wif = '5JQy7moK9SvNNDxn8rKNfQYFME5VDYC2j9Mv2tb7uXV5jz3fQR8'
  var tx = {
      ref_block_num: 1234,
      ref_block_prefix: 445566,
      expiration: '2017-07-09T10:00:00.000',
      operations: [['vote', {
          voter: 'foo',
          author: 'bar',
          permlink: 'i-like-turtles',
          weight: 10000
      }]],
      extensions: [],
      signatures: []
  }

Tests:

dsteem
var key = dsteem.PrivateKey.fromString(wif) dsteem.signTransaction(tx, key, {chainId: dsteem.DEFAULT_CHAIN_ID, addressPrefix: dsteem.DEFAULT_ADDRESS_PREFIX})
steem-js
var keys = {posting: wif} steem.auth.signTransaction(tx, keys)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
dsteem
steem-js

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

I'll do my best to explain the benchmarking process and the options being compared.

**What is being tested?**

The benchmark is testing the performance of two libraries: `dsteem` and `steem-js`, which are used for interacting with the Steemit blockchain. Specifically, they are comparing the performance of each library in signing a transaction on the blockchain.

**Options being compared:**

There are two main options being compared:

1. **dsteem**: This is a Rust-based library that provides a low-level interface to the Steemit blockchain. It allows users to interact with the blockchain using a more direct and low-level approach.
2. **steem-js**: This is a JavaScript wrapper around the Steemit API, which provides a higher-level interface to the blockchain. It's designed for easier use in web applications.

**Pros and Cons:**

**dsteem:**

* Pros:
	+ Provides a more direct and low-level interface to the blockchain.
	+ Can be faster for certain types of operations.
* Cons:
	+ Requires Rust programming language knowledge.
	+ May require more boilerplate code.

**steem-js:**

* Pros:
	+ Easier to use and understand, especially for JavaScript developers.
	+ Provides a higher-level interface that abstracts away some low-level details.
* Cons:
	+ May be slower than dsteem for certain types of operations.
	+ Requires more setup and configuration.

**Other considerations:**

* **Memory usage:** The benchmark results don't mention memory usage, but it's an important factor to consider when choosing a library. `dsteem` may have higher memory requirements due to its low-level nature.
* **Security:** Both libraries are designed with security in mind, but the specific security features and implementation details may vary between them.

**Library descriptions:**

* **dsteem**: A Rust-based library for interacting with the Steemit blockchain. It provides a low-level interface that allows users to perform various operations on the blockchain.
* **steem-js**: A JavaScript wrapper around the Steemit API, providing a higher-level interface for easier use in web applications.

**Special JS feature or syntax:**

There are no special JavaScript features or syntax mentioned in the benchmark code. The libraries use standard JavaScript concepts and data structures.

**Other alternatives:**

If you're looking for alternative libraries to interact with the Steemit blockchain, some other options might include:

* **steem-python**: A Python wrapper around the Steemit API.
* **steem-php**: A PHP wrapper around the Steemit API.
* **Steemit-Ruby**: A Ruby wrapper around the Steemit API.

Keep in mind that these alternatives may not be as widely used or well-maintained as `dsteem` and `steem-js`.

Related benchmarks:

dsteem vs steem-js round 2 (version: 0)

FIGHT

Comparing performance of: dsteem vs steem-js

Created: 8 years ago by: Guest

Jump to the latest result

dsteem

steem-js

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):