Cargo.toml

[package]
name = "qlib_data"
version = "0.1.0"
edition = "2021"

repository = "https://github.com/daedalus2022/qlib_data"
keywords = ["stock", "quantization", "futures", "qlib", "ai"]
categories = ["quantization"]
rust-version = "1.73.0"
readme = "README.md"
description = "qlib数据处理"
license = "Apache-2.0"

[[example]]
name = "cli"


# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]
# 错误处理
anyhow = "1"

# 命令行解析
clap = { version = "3", features = ["derive"] }

# 命令行高亮
colored = "2.0.0"

# JSON pretty print 格式化
jsonxf = "1.1.1"

# 处理mime类型
mime = "0.3.16"

# 高性能http客户端
reqwest = { version = "0.11.14", features = ["json"] }

# 语法高亮
syntect = "5.1.0"

# 异步处理
futures = "0.3"
tokio = { version = "1.33.0", features = ["full"] }
async-std = "1.12.0"


## 数据读取 https://pola-rs.github.io/polars/user-guide/installation/#rust
polars = { version = "0.27.2", features = ["lazy", "temporal", "describe", "json", "parquet", "dtype-datetime", "csv-file"] }

## json
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0.93"
## pickle 序列化
serde-pickle = "1.1.1"

## 特征异步
async-trait = "0.1.74"

# log
tracing = "0.1.34"
tracing-subscriber = { version = "0.3.11", features = ["env-filter"] }

# env
dotenvy = "0.15"

# md5
md5 = "0.7.0"

# csv
csv = { version = "1.1", features = [] }

# 进度条
pbr = "1.0.3"

# 量化数据源
qshare="0.1.4"

# 模型训练
tch = "0.14.0"
nn = "0.1.6"

## ml
## 
linfa = "0.7.0"  
linfa-nn="0.7.0"
linfa-elasticnet = "0.7.0"
linfa-logistic = "0.7.0"
ndarray = "0.15"
#rand = "0.8.5"
#num-traits = "0.2.17"
linfa-datasets = { version = "0.7", features = ["diabetes"] }



#ndarray = "0.15"
#ndarray-nn = "0.5"
#ndarray-rand = "0.14.0"
#linfa = "0.7.0"
#linfa-nn = "0.7.0"