#1 dgraph
high-performance graph database for real-time use cases
github.com/abrahambotros/lore
lore
Simple and lightweight pseudo-ORM/pseudo-struct-mapping environment for Go.
Decision Signals
Health score 40/100, confidence 80/100.
Install
go get github.com/abrahambotros/lore
Package Data
updated May 28, 2026| Latest version | v0.0.0-20171021182633-c48946c11853 |
| Imported by | 0 packages |
| Stars | 0 |
| Forks | 0 |
| Last activity | 8 years ago |
| Latest release | Unknown |
| License | Unknown |
| Known vuln records | 0 |
API Surface
45 symbols| Symbol | Kind | Synopsis |
|---|---|---|
| Config | Type | type Config struct{ ... } |
| Config.SQLPlaceholderFormat | Field | SQLPlaceholderFormat SQLPlaceholderFormat |
| GetConfig | Function | func GetConfig() *Config |
| GetConfigDefault | Function | func GetConfigDefault() *Config |
| ModelInterface | Type | type ModelInterface interface{ ... } |
| ModelInterface.DbFieldMap | Method | DbFieldMap func() map[string]interface{} |
| ModelInterface.DbPrimaryFieldKey | Method | DbPrimaryFieldKey func() string |
| ModelInterface.DbPrimaryFieldValue | Method | DbPrimaryFieldValue func() interface{} |
| ModelInterface.DbTableName | Method | DbTableName func() string |
| Query | Type | type Query struct{} |
| NewQuery | Function | func NewQuery(modelInterface ModelInterface) *Query |
| Query.BuildSqlDelete | Method | func (q *Query) BuildSqlDelete() squirrel.DeleteBuilder |
Maintained Alternatives
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#3 GORM
Developer-friendly ORM library for Go.
#4 etcd
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#5 tidb
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#6 dolt
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Similar Packages
Go ORM Libraries#1 dgraph
high-performance graph database for real-time use cases
#2 Ent
Package ent is the interface between end-user schemas and entc (ent codegen).
#3 GORM
Developer-friendly ORM library for Go.
#4 etcd
Package main is a simple wrapper of the real etcd entrypoint package (located at github.com/coreos/etcd/etcdmain) to ensure that etcd is still "go getable"; e.g.
#5 tidb
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.